The document discusses the IUPUI University Library's use of social media in 2015 to strengthen connections with users. Key goals included posting often across Facebook, Twitter and Instagram; cross-posting content; and diversifying content types including events, news, tips and throwback Thursday posts. Data analysis found that library tip posts had the highest reach of over 32,000 while event posts engaged users the most, receiving over 600 likes, shares and comments. The analysis informed lessons learned about optimizing the library's social media strategy to better engage users.
Monthly reports sample - comnico Marketing Suitecomnico inc.
The time-consuming monthly report can now be automatically generated as a ready-to-use excel file that displays graphs. Internal or client reports have never be so easy to create.
http://products.comnico.jp/cms/
Who are my Audiences? Evolution of Target Audiences in MicroblogsRuth Garcia Gavilanes
User behavior in online social media is not static, it evolves
through the years. In Twitter, we have witnessed a maturation of its platform and its users due to endogenous and exogenous reasons. While the research using Twitter data has expanded rapidly, little work has studied the change/evolution in the Twitter ecosystem itself. In this pa-
per, we use a taxonomy of the types of tweets posted by around 4M users during 10 weeks in 2011 and 2013. We classify users according to their tweeting behavior, and nd 5 clusters for which we can associate a different dominant tweeting type. Furthermore, we observe the evolution of
users across groups between 2011 and 2013 and interesting insights such as the decrease in conversations and increase in URLs sharing. Our findings suggest that mature users evolve to adopt Twitter as a news media rather than a social network.
Journey from subjective to objective: Capturing user experienceYoo Young Lee
The document discusses capturing user experience (UX) during library instruction sessions. 160 students participated in tasks on the library website, pre- and post-surveys, and instruction sessions. Results showed upper-level students performed better on tasks than lower-level students. Previous library instruction did not significantly affect task performance or user satisfaction. Analysis of task behaviors and performance identified areas for improvement.
Connecting Library Instruction to Web Usability: Improve User ExperienceYoo Young Lee
This document summarizes a study conducted by Yoo Young Lee and Eric Snajdr at Indiana University Purdue University Indianapolis (IUPUI) that tested the effectiveness of browse-focused versus search-focused library instruction on freshman students. Two sections of an introductory science course received different styles of instruction, and their ability to browse versus search library resources was tested before and after using a usability tool. The results showed that the browse-focused instruction increased browsing habits while the search-focused instruction increased searching habits after the library sessions.
The document discusses 6 common marketing pitfalls for mobile apps: 1) Assuming users will find your app without promotion, 2) Not having a marketing strategy, 3) Releasing the app without optimizing speed, 4) Focusing too much on self-promotion rather than user needs, 5) Treating the app like a mobile website or desktop app, and 6) Neglecting user privacy concerns. It provides tips to avoid these pitfalls such as using social media promotion, optimizing the app experience, focusing content on user needs, and implementing privacy policies.
How to Leverage Webinars for B2B Lead GenerationUberflip
Webinars are unique among content types; they're marketed like events, after all.
These web-based seminars attract qualified, invested audiences that you can convert into leads weeks before the content goes live, and months after it's aired. That makes webinars a powerful lead generation asset in your B2B content mix.
Join Hana Abaza, VP Marketing at Uberflip for a webinar about the best practices to get the most out of these live events.
Monthly reports sample - comnico Marketing Suitecomnico inc.
The time-consuming monthly report can now be automatically generated as a ready-to-use excel file that displays graphs. Internal or client reports have never be so easy to create.
http://products.comnico.jp/cms/
Who are my Audiences? Evolution of Target Audiences in MicroblogsRuth Garcia Gavilanes
User behavior in online social media is not static, it evolves
through the years. In Twitter, we have witnessed a maturation of its platform and its users due to endogenous and exogenous reasons. While the research using Twitter data has expanded rapidly, little work has studied the change/evolution in the Twitter ecosystem itself. In this pa-
per, we use a taxonomy of the types of tweets posted by around 4M users during 10 weeks in 2011 and 2013. We classify users according to their tweeting behavior, and nd 5 clusters for which we can associate a different dominant tweeting type. Furthermore, we observe the evolution of
users across groups between 2011 and 2013 and interesting insights such as the decrease in conversations and increase in URLs sharing. Our findings suggest that mature users evolve to adopt Twitter as a news media rather than a social network.
Journey from subjective to objective: Capturing user experienceYoo Young Lee
The document discusses capturing user experience (UX) during library instruction sessions. 160 students participated in tasks on the library website, pre- and post-surveys, and instruction sessions. Results showed upper-level students performed better on tasks than lower-level students. Previous library instruction did not significantly affect task performance or user satisfaction. Analysis of task behaviors and performance identified areas for improvement.
Connecting Library Instruction to Web Usability: Improve User ExperienceYoo Young Lee
This document summarizes a study conducted by Yoo Young Lee and Eric Snajdr at Indiana University Purdue University Indianapolis (IUPUI) that tested the effectiveness of browse-focused versus search-focused library instruction on freshman students. Two sections of an introductory science course received different styles of instruction, and their ability to browse versus search library resources was tested before and after using a usability tool. The results showed that the browse-focused instruction increased browsing habits while the search-focused instruction increased searching habits after the library sessions.
The document discusses 6 common marketing pitfalls for mobile apps: 1) Assuming users will find your app without promotion, 2) Not having a marketing strategy, 3) Releasing the app without optimizing speed, 4) Focusing too much on self-promotion rather than user needs, 5) Treating the app like a mobile website or desktop app, and 6) Neglecting user privacy concerns. It provides tips to avoid these pitfalls such as using social media promotion, optimizing the app experience, focusing content on user needs, and implementing privacy policies.
How to Leverage Webinars for B2B Lead GenerationUberflip
Webinars are unique among content types; they're marketed like events, after all.
These web-based seminars attract qualified, invested audiences that you can convert into leads weeks before the content goes live, and months after it's aired. That makes webinars a powerful lead generation asset in your B2B content mix.
Join Hana Abaza, VP Marketing at Uberflip for a webinar about the best practices to get the most out of these live events.
The document summarizes the findings of a study examining social media use among New Zealand research institutions. It finds that around 90% have an official social media presence, with Twitter, Facebook and YouTube being the most popular platforms. The University of Auckland has the most Facebook followers, while GeoNet has the most Twitter followers and Te Papa has the most YouTube subscribers and views. Many institutions maintain presences on multiple platforms, though smaller research groups are slower to adopt social media.
Social media news audiences and the quantified journalistTim Highfield
This document summarizes a research project on social media news audiences and the quantified journalist. The project examines how journalists and audiences co-create news on social media platforms like Twitter. It analyzes what news content is shared on social media, which sources are most prominent, and the roles of journalists and audiences in shaping public discussions. The researchers will collect data from sources like Twitter, Facebook, and news site analytics to understand news sharing trends and how overlapping publics form and interact. The goal is to develop a new model of the Australian online public sphere and understand how news consumption and debate unfold over time.
1) The research studied how brands are using Twitter and what users think of their presence. It found that while most users are passive, Twitter is being used for self-expression, networking, entertainment and information sourcing.
2) Brands are taking different approaches on Twitter including promoting values, engaging customers, sales promotions and customer support. Word of mouth on Twitter has potential for brands due to retweeting.
3) For brands on Twitter, the research recommends giving people a reason to follow, complementing other marketing, being genuine in interactions, having an ongoing dialogue or clear exit, and carefully judging engagement frequency while considering influencers. Measurement of success requires understanding how messages spread across levels of a brand's network
Friend, Follow, Comment: An Analysis of Social Media Use by Academic Librarie...abqlaConference
Dee Winn, Michael Groenendyk, Sarah Polk, Melissa Rivosecchi and Julia Bjerke. Friend, Follow, Comment: An Analysis of Social Media Use by Academic Libraries in Montréal. ABQLA Conference 2015.
Social media is an increasingly important tool for communicators and journalists according to a survey of professionals. 25% of online time in Australia is spent on social media, equaling 15 minutes of every hour. Both journalists and communicators recognize the importance of social media, with 89% of Australian journalists believing it spreads news faster. While communicators see value in social media, many feel responsibility for channels should be shared between marketing and communications teams. Original written content remains the most important type of content for social media, despite growth in visual content sharing.
Interaction between Librarians and Library Users on Twitter and WeiboCITE
ZHENG, Yi (Faculty of Education, Univeristy of Hong Kong)
LIU, Yuyang (Faculty of Education, Univeristy of Hong Kong)
CHU, Samuel Kai Wah (Faculty of Education, Univeristy of Hong Kong)
HUANG, Hong (School of Information, University of South Florida, United States)
http://citers2013.cite.hku.hk/en/paper_609.htm
---------------------------
Author(s) bear(s) the responsibility in case of any infringement of the Intellectual Property Rights of third parties.
---------------------------
CITE was notified by the author(s) that if the presentation slides contain any personal particulars, records and personal data (as defined in the Personal Data (Privacy) Ordinance) such as names, email addresses, photos of students, etc, the author(s) have/has obtained the corresponding person's consent.
Weller social media as research data_psm15Katrin Weller
Presentation at "Preserving Social Media" (#psm15), London, October 27th 2015.
http://dpconline.org/events/details/96-preserving-socialmedia?xref=126%3ASocialMedia15
- The document analyzed Twitter usage data from 391 scholars across various disciplines who reported having a Twitter account.
- The data showed differences in Twitter usage based on factors like gender, discipline, and academic age/title. However, there was no strong relationship found between Twitter usage and publication output or average citations, indicating no clear relationship between social media usage and scholarly impact.
- The data did reveal small differences between disciplines in how scholars used features like hashtags, mentions, and retweets, but further analysis is needed, especially of retweets by the scholars themselves.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
The document analyzes Twitter's Suggested Users list and its impact on user growth. It finds that being added as a Suggested User leads to a large increase in followers over 1-2 weeks. However, it questions whether this growth is sustained long-term and whether the list truly helps integrate new users and foster connections between users. It ultimately argues that Twitter may not be achieving its goals of creating a long-lasting social network if users are just seeking information and not forming relationships.
Science dissemination 2.0: Social media for researchers (MTM-MSc 2022)Xavier Lasauca i Cisa
In this workshop (Master in Translational Medicine-MSc, University of Barcelona's Faculty of Medicine-Hospital Clínic, 25 May 2022) I summarised the benefits which can be gained from use of social media (specially Twitter, blogs and other networks and repositories) to support research activities, and I provided examples of these socialnetwork sites as tools for scientific communication, as well as resources to increase the diffusion, visibility and impact of the scientific production. Structure of the lecture: Introduction,The digital revolution, Altmetrics, Open science, Active listening, Twitter, Professional networking, Blogging, Sharing, Digital identity building, References to deepen and Conclusions.
This document discusses the creation of a panel of Twitter users to analyze political messages on the platform. It describes:
1. Collecting a random sample of 10,300 French Twitter accounts and sending a questionnaire to collect demographic data, with 658 users responding.
2. Analyzing over 11 months the tweets of respondents and a sample of non-respondents to understand how sociodemographic factors relate to political tweet production.
3. Key findings showing disparities in political tweet volumes depending on age, interests, and occupations like executives and students, with events spurring higher volumes.
This document discusses how different news agencies share news on social media platforms like Facebook, Twitter, and Instagram. It provides case studies of how ABC7 and Initium Media in Hong Kong use various social media platforms for news distribution. ABC7 posts around 20 times per day on Facebook with summaries and links, 80 times per day on Twitter with more concise updates. Initium Media focuses on hashtags and different post types for different platforms. The document also discusses how Facebook news feed decides which stories to show and the issue of "echo chambers" in social media news consumption.
The Power Point to support my presentation on use of Social Media in higher education. NISOD Conference on Teaching and Leadership Excellence, May 30 2011
This document provides guidance on developing an effective social media strategy. It discusses identifying target audiences, where they consume content, and how to create content tailored for specific social media channels. The key audiences for Duke University are identified as students, alumni, donors, media, and the Durham community. Popular social media platforms are analyzed including Facebook, Instagram, Twitter and LinkedIn. Metrics for measuring success are recommended such as engagement, traffic referral, and brand sentiment. The goal is to develop content that tells compelling stories and drives people to the organization's website.
Disseminating Scientific Papers via Twitter: Practical Insights and Research ...SC CTSI at USC and CHLA
About one-fifth of current scientific papers are being shared on Twitter. With 230 million active users and 24 percent of the U.S. online population using the microblogging platform, hopes are high that tweets mentioning scientific articles reflect some type of interest by the general public and might even be able to measure the societal impact of research. However, early studies show that most of the engagement with scientific papers on Twitter takes place among members of academia and thus reflects visibility within the scientific community rather than impact on society. At the same time, some tweets do not involve any human engagement but rather are generated automatically by Twitter bots.
This talk focuses on identifying audiences on Twitter and teaches participants how to collect, analyze, visualize, and interpret diffusion patterns of scientific articles on Twitter. The course provides an overview of Altmetrics research and present the challenges – including methods and first results – of classifying Twitter user groups, with a particular focus on identifying members of the general public and measuring societal impact. The course will provide hands-on exercises and instructions on how to analyze by whom, when, and how scientific papers are shared on Twitter.
Speaker: Stefanie Haustein, Ph.D., Assistant Professor, School of Information Studies, University of Ottawa
Communication Tools, Preferences and Behaviors of UNL students surveyed in 2016 and presented to UNL communicators at Think Tank 2016 by Andy Schadwinkel, Director of Strategic Marketing Initiatives, University Communications.
The document summarizes the findings of a study examining social media use among New Zealand research institutions. It finds that around 90% have an official social media presence, with Twitter, Facebook and YouTube being the most popular platforms. The University of Auckland has the most Facebook followers, while GeoNet has the most Twitter followers and Te Papa has the most YouTube subscribers and views. Many institutions maintain presences on multiple platforms, though smaller research groups are slower to adopt social media.
Social media news audiences and the quantified journalistTim Highfield
This document summarizes a research project on social media news audiences and the quantified journalist. The project examines how journalists and audiences co-create news on social media platforms like Twitter. It analyzes what news content is shared on social media, which sources are most prominent, and the roles of journalists and audiences in shaping public discussions. The researchers will collect data from sources like Twitter, Facebook, and news site analytics to understand news sharing trends and how overlapping publics form and interact. The goal is to develop a new model of the Australian online public sphere and understand how news consumption and debate unfold over time.
1) The research studied how brands are using Twitter and what users think of their presence. It found that while most users are passive, Twitter is being used for self-expression, networking, entertainment and information sourcing.
2) Brands are taking different approaches on Twitter including promoting values, engaging customers, sales promotions and customer support. Word of mouth on Twitter has potential for brands due to retweeting.
3) For brands on Twitter, the research recommends giving people a reason to follow, complementing other marketing, being genuine in interactions, having an ongoing dialogue or clear exit, and carefully judging engagement frequency while considering influencers. Measurement of success requires understanding how messages spread across levels of a brand's network
Friend, Follow, Comment: An Analysis of Social Media Use by Academic Librarie...abqlaConference
Dee Winn, Michael Groenendyk, Sarah Polk, Melissa Rivosecchi and Julia Bjerke. Friend, Follow, Comment: An Analysis of Social Media Use by Academic Libraries in Montréal. ABQLA Conference 2015.
Social media is an increasingly important tool for communicators and journalists according to a survey of professionals. 25% of online time in Australia is spent on social media, equaling 15 minutes of every hour. Both journalists and communicators recognize the importance of social media, with 89% of Australian journalists believing it spreads news faster. While communicators see value in social media, many feel responsibility for channels should be shared between marketing and communications teams. Original written content remains the most important type of content for social media, despite growth in visual content sharing.
Interaction between Librarians and Library Users on Twitter and WeiboCITE
ZHENG, Yi (Faculty of Education, Univeristy of Hong Kong)
LIU, Yuyang (Faculty of Education, Univeristy of Hong Kong)
CHU, Samuel Kai Wah (Faculty of Education, Univeristy of Hong Kong)
HUANG, Hong (School of Information, University of South Florida, United States)
http://citers2013.cite.hku.hk/en/paper_609.htm
---------------------------
Author(s) bear(s) the responsibility in case of any infringement of the Intellectual Property Rights of third parties.
---------------------------
CITE was notified by the author(s) that if the presentation slides contain any personal particulars, records and personal data (as defined in the Personal Data (Privacy) Ordinance) such as names, email addresses, photos of students, etc, the author(s) have/has obtained the corresponding person's consent.
Weller social media as research data_psm15Katrin Weller
Presentation at "Preserving Social Media" (#psm15), London, October 27th 2015.
http://dpconline.org/events/details/96-preserving-socialmedia?xref=126%3ASocialMedia15
- The document analyzed Twitter usage data from 391 scholars across various disciplines who reported having a Twitter account.
- The data showed differences in Twitter usage based on factors like gender, discipline, and academic age/title. However, there was no strong relationship found between Twitter usage and publication output or average citations, indicating no clear relationship between social media usage and scholarly impact.
- The data did reveal small differences between disciplines in how scholars used features like hashtags, mentions, and retweets, but further analysis is needed, especially of retweets by the scholars themselves.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
The document analyzes Twitter's Suggested Users list and its impact on user growth. It finds that being added as a Suggested User leads to a large increase in followers over 1-2 weeks. However, it questions whether this growth is sustained long-term and whether the list truly helps integrate new users and foster connections between users. It ultimately argues that Twitter may not be achieving its goals of creating a long-lasting social network if users are just seeking information and not forming relationships.
Science dissemination 2.0: Social media for researchers (MTM-MSc 2022)Xavier Lasauca i Cisa
In this workshop (Master in Translational Medicine-MSc, University of Barcelona's Faculty of Medicine-Hospital Clínic, 25 May 2022) I summarised the benefits which can be gained from use of social media (specially Twitter, blogs and other networks and repositories) to support research activities, and I provided examples of these socialnetwork sites as tools for scientific communication, as well as resources to increase the diffusion, visibility and impact of the scientific production. Structure of the lecture: Introduction,The digital revolution, Altmetrics, Open science, Active listening, Twitter, Professional networking, Blogging, Sharing, Digital identity building, References to deepen and Conclusions.
This document discusses the creation of a panel of Twitter users to analyze political messages on the platform. It describes:
1. Collecting a random sample of 10,300 French Twitter accounts and sending a questionnaire to collect demographic data, with 658 users responding.
2. Analyzing over 11 months the tweets of respondents and a sample of non-respondents to understand how sociodemographic factors relate to political tweet production.
3. Key findings showing disparities in political tweet volumes depending on age, interests, and occupations like executives and students, with events spurring higher volumes.
This document discusses how different news agencies share news on social media platforms like Facebook, Twitter, and Instagram. It provides case studies of how ABC7 and Initium Media in Hong Kong use various social media platforms for news distribution. ABC7 posts around 20 times per day on Facebook with summaries and links, 80 times per day on Twitter with more concise updates. Initium Media focuses on hashtags and different post types for different platforms. The document also discusses how Facebook news feed decides which stories to show and the issue of "echo chambers" in social media news consumption.
The Power Point to support my presentation on use of Social Media in higher education. NISOD Conference on Teaching and Leadership Excellence, May 30 2011
This document provides guidance on developing an effective social media strategy. It discusses identifying target audiences, where they consume content, and how to create content tailored for specific social media channels. The key audiences for Duke University are identified as students, alumni, donors, media, and the Durham community. Popular social media platforms are analyzed including Facebook, Instagram, Twitter and LinkedIn. Metrics for measuring success are recommended such as engagement, traffic referral, and brand sentiment. The goal is to develop content that tells compelling stories and drives people to the organization's website.
Disseminating Scientific Papers via Twitter: Practical Insights and Research ...SC CTSI at USC and CHLA
About one-fifth of current scientific papers are being shared on Twitter. With 230 million active users and 24 percent of the U.S. online population using the microblogging platform, hopes are high that tweets mentioning scientific articles reflect some type of interest by the general public and might even be able to measure the societal impact of research. However, early studies show that most of the engagement with scientific papers on Twitter takes place among members of academia and thus reflects visibility within the scientific community rather than impact on society. At the same time, some tweets do not involve any human engagement but rather are generated automatically by Twitter bots.
This talk focuses on identifying audiences on Twitter and teaches participants how to collect, analyze, visualize, and interpret diffusion patterns of scientific articles on Twitter. The course provides an overview of Altmetrics research and present the challenges – including methods and first results – of classifying Twitter user groups, with a particular focus on identifying members of the general public and measuring societal impact. The course will provide hands-on exercises and instructions on how to analyze by whom, when, and how scientific papers are shared on Twitter.
Speaker: Stefanie Haustein, Ph.D., Assistant Professor, School of Information Studies, University of Ottawa
Communication Tools, Preferences and Behaviors of UNL students surveyed in 2016 and presented to UNL communicators at Think Tank 2016 by Andy Schadwinkel, Director of Strategic Marketing Initiatives, University Communications.
Semelhante a When Usability Meets Social Media: Strengthen Your Connections with Users (20)
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
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For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Communicating effectively and consistently with students can help them feel at ease during their learning experience and provide the instructor with a communication trail to track the course's progress. This workshop will take you through constructing an engaging course container to facilitate effective communication.
Constructing Your Course Container for Effective Communication
When Usability Meets Social Media: Strengthen Your Connections with Users
1. When
Usability
Meets
Social
Media
Strengthen
Your
Connections
with
Users
Yoo
Young
Lee
Digital
User
Experience
Librarian
Liaison
Librarian
to
the
School
of
Health
and
Rehabilitation
Sciences
Willie
Miller
Liaison
Librarian
to
the
School
of
Informatics
and
the
Department
of
Journalism
and
Public
Relations
Indiana
University
Purdue
University
Indianapolis
2. Outline
01.
Background
@
IUPUI
UL
02.
Social
Media
(2015)
@
IUPUI
UL
03.
Data
Analysis
04.
Lessons
Learned
05.
Tools
3. 01.
Background
@
IUPUI
UL
IUPUI
University
Library
Campus
Outreach
Group
(COG)
4. 01.
Background
@
IUPUI
UL
Social
Media
People
Willie
Miller Yoo
Young
Lee Taylor
Leonard Alicia
Añino Jenny
Johnson
Chair UX External
Relations
Admin. Digital
Scholarship
5. 01.
Background
@
IUPUI
UL
History
2009
Social
Media
Presence
2009-‐2013
Increase
Fans
and
Followers
2014
Instagram
2015
Content
Engagement
Facebook:
2,252 Fans
Twitter:
1,674 Followers
Instagram:
262 FollowersWe
started
Facebook
and
Twitter!
Focused
on
Boosting
Content
Engagement
6. 01.
Background
@
IUPUI
UL
Content
Engagement
“Real
people
responding
in
measurable
ways
to
your
content…”
-‐ Neil
Patel
7. 01.
Background
@
IUPUI
UL
Content
Engagement:
Key
Objectives
“Real
people
responding
in
measurable
ways
to
your
content…”
-‐ Neil
Patel
Real
People
Measurable
Content
IUPUI
Community
• Students
• Faculty
• Staff
• Indy
residents
• Researchers
What
we
care:
• Increase
page
views
• Boost
awareness
• Encourage
audience
interactions
Be
valuable
• Information
• Assistance
• Entertainment
8. 01.
Background
@
IUPUI
UL
Social
Media
User
Experience
Measure
Analyze
Modify
Improve
Check
current
practices
and
gather
data
Investigate
current
practices
based
on
data
Change
social
media
practices
based
on
analysis
People
like
and
follow
us
more
than
ever!
9. 01.
Background
@
IUPUI
UL
Key
Goals
1 Post
Often,
Schedule
and
Spread
Out
2 Cross-‐Post
3 Content
Diversification
10. 02.
Social
Media
(2015)
@
IUPUI
UL
1 Post
Often,
Schedule
and
Spread
Out
0
5
10
15
20
25
30
Jan Feb Mar Apr May June July Aug Sept Oct
Facebook Twitter Instagram
11. 02.
Social
Media
(2015)
@
IUPUI
UL
1 Post
Often,
Schedule
and
Spread
Out
12
Posts
16
Posts
7
Posts
12. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
Events:
42
Unique
Posts
News:
34
Unique
Posts
Miscellaneous:
28
Unique
Posts
Tips:
20
Unique
Posts
Throwback
Thursday
(TBD):
13
Unique
Posts
Events
31%
News
25%
Misc.
20%
Tips
15%
TBD
9%
13. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
Pass
the
Jag
2/3 Content
Diversification
across
our
Social
Media
14. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
I
Heart
UL
2/3 Content
Diversification
across
our
Social
Media
15. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
Earth
Day
2/3 Content
Diversification
across
our
Social
Media
16. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
Up
Late
2/3 Content
Diversification
across
our
Social
Media
17. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
Welcome
Week
-‐ JagSwag
2/3 Content
Diversification
across
our
Social
Media
18. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
Regatta
2/3 Content
Diversification
across
our
Social
Media
19. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
Surprising
3D
Jag
2/3 Content
Diversification
across
our
Social
Media
20. 02.
Social
Media
(2015)
@
IUPUI
UL
#Events:
Open
Access
Week
2/3 Content
Diversification
across
our
Social
Media
21. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#News:
Book
Club
22. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#News:
Sculpture
23. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#News:
New
Website
24. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#News:
Indy
Recorder
Award
25. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#Miscellaneous
26. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#Tips
27. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#Library
Tips
28. 02.
Social
Media
(2015)
@
IUPUI
UL
2/3 Content
Diversification
across
our
Social
Media
#Throwback
Thursday
29. 03.
Data
Analysis
Q.
Reach/Impression
5165
238
0 1000 2000 3000 4000 5000 6000
Instagram
Twitter
Facebook
N/A
157
82
Fan Non
fan
Our
fans:
2,252
Our
Followers:
1,674
31. 03.
Data
Analysis
Q.
Which
content
most
reached?
1 Misc.
Shared
Content
2 TBT
1,130 878
32. 03.
Data
Analysis
Q.
Which
content
most
reached?
3 Misc.
Shared
Content 4 Misc.
Shared
Content
5 Library
Tips
846 804
739
33. 03.
Data
Analysis
Q.
Reach
on
Average
0
100
200
300
400
500
600
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
34. 03.
Data
Analysis
Q.
Which
content
most
reached?
1 Library
Tips
2 Events
32,055
18,560
35. 03.
Data
Analysis
Q.
Which
content
most
reached?
3 Events 4 Events
5 Events
14,095
12,193
11,792
36. 03.
Data
Analysis
Q.
Impression
on
Average
0
2000
4000
6000
8000
10000
12000
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
37. 03.
Data
Analysis
1 Events 2 Events
Q.
Which
content
got
most
user
engagement?
608 352
38. 03.
Data
Analysis
3 Misc.
Shared
Content 4 Events
TBD
Q.
Which
content
got
most
user
engagement?
5
187
170
128
39. 03.
Data
Analysis
Q.
Engagement
0
20
40
60
80
100
120
140
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
40. 03.
Data
Analysis
1 Events
2 Events
390 294
Q.
Which
content
got
most
user
engagement?
41. 03.
Data
Analysis
3 Library
Tips 4 Library
Tips Misc.
82
78
72
Q.
Which
content
got
most
user
engagement?
5
42. 03.
Data
Analysis
Q.
Engagement
0
10
20
30
40
50
60
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
43. 03.
Data
Analysis
1 Misc.
2 Events
34 23
Q.
Which
content
got
most
user
engagement?
44. 03.
Data
Analysis
3 TBD 4 Misc. TBD
21 21 20
Q.
Which
content
got
most
user
engagement?
5
45. 03.
Data
Analysis
Q.
Engagement
0
2
4
6
8
10
12
14
16
18
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
46. 03.
Data
Analysis
Q.
Automatic
post
0
2000
4000
6000
8000
10000
12000
14000
16000
Direct Automatic
0
10
20
30
40
50
60
70
80
Direct Automatic
Exclude
one
outlier
(294)
Reach User
Engagement
47. 03.
Data
Analysis
Q.
Automatic
post
Reach User
Engagement
t-‐Test:
Two-‐Sample
Assuming
Equal
Variances Direct Automatic
Mean 6128.71 5742.32
Variance 11258622.95 8260330.74
Observations 28.00 28.00
Pooled
Variance 9759476.85
Hypothesized
Mean
Difference 0.00
df 54.00
t
Stat 0.46
P(T<=t)
one-‐tail 0.32
t
Critical
one-‐tail 1.67
P(T<=t)
two-‐tail 0.65
t
Critical
two-‐tail 2.00
t-‐Test:
Two-‐Sample
Assuming
Equal
Variances Direct Automatic
Mean 15.70 2.37
Variance 258.14 4.24
Observations 27.00 27.00
Pooled
Variance 131.19
Hypothesized
Mean
Difference 0.00
df 52.00
t
Stat 4.28
P(T<=t)
one-‐tail 0.00
t
Critical
one-‐tail 1.67
P(T<=t)
two-‐tail 0.00
t
Critical
two-‐tail 2.01
48. 03.
Data
Analysis
Q.
Automatic
post
Be
careful!!!! Don’t
make
your
followers
guess!!!!
49. 03.
Data
Analysis
Q.
Use
of
multimedia
Reach:
71
Engagement:
1
Reach:
342
Engagement:
79
50. 03.
Data
Analysis
Q.
Use
of
multimedia
Impression:
6128
Engagement:
0
Impression:
11792
Engagement:
132
51. 03.
Data
Analysis
Q.
Use
of
hashtag
0
50
100
150
200
250
300
Reach Engagement
Y N
52. 03.
Data
Analysis
Q.
Use
of
hashtag
Engagement Y N
Mean 46.23 34.33
Variance 8038.05 2786.08
Observations 48.00 73.00
Pooled
Variance 4860.39
Hypothesized
Mean
Difference 0.00
df 119.00
t
Stat 0.92
P(T<=t)
one-‐tail 0.18
t
Critical
one-‐tail 1.66
P(T<=t)
two-‐tail 0.36
t
Critical
two-‐tail 1.98
Reach Y N
Mean 236.90 238.73
Variance 37162.69 42825.23
Observations 48.00 73.00
Pooled
Variance 40588.76
Hypothesized
Mean
Difference 0.00
df 119.00
t
Stat -‐0.05
P(T<=t)
one-‐tail 0.48
t
Critical
one-‐tail 1.66
P(T<=t)
two-‐tail 0.96
t
Critical
two-‐tail 1.98
53. 03.
Data
Analysis
Q.
Use
of
hashtag
4200
4400
4600
4800
5000
5200
5400
5600
5800
Impression
Y N
0
5
10
15
20
25
30
35
Engagement
Y N
54. 03.
Data
Analysis
Q.
Use
of
hashtag
Reach Y N
Mean 5591.44 4779.10
Variance 17806446.93 7981819.26
Observations 75.00 83.00
Pooled
Variance 12642219.56
Hypothesized
Mean
Difference 0.00
df 156.00
t
Stat 1.43
P(T<=t)
one-‐tail 0.08
t
Critical
one-‐tail 1.65
P(T<=t)
two-‐tail 0.15
t
Critical
two-‐tail 1.98
Engagement Y N
Mean 28.60 8.81
Variance 3333.73 133.23
Observations 75.00 83.00
Pooled
Variance 1651.42
Hypothesized
Mean
Difference 0.00
df 156.00
t
Stat 3.06
P(T<=t)
one-‐tail 0.00
t
Critical
one-‐tail 1.65
P(T<=t)
two-‐tail 0.00
t
Critical
two-‐tail 1.98
55. 03.
Data
Analysis
Q.
Use
of
hashtag
0
2
4
6
8
10
12
Engagement
Y N
Engagement Y N
Mean 11.37 11.20
Variance 26.03 35.51
Observations 59.00 10.00
Pooled
Variance 27.30
Hypothesized
Mean
Difference 0.00
df 67.00
t
Stat 0.10
P(T<=t)
one-‐tail 0.46
t
Critical
one-‐tail 1.67
P(T<=t)
two-‐tail 0.92
t
Critical
two-‐tail 2.00
56. 03.
Data
Analysis
Q.
Links
from
Social
Media
(Digital
Collections):
from
Jan.
1
to
Oct.
31,
2015
Last
year:
1574
Last
year:
155
57. 03.
Data
Analysis
Q.
Links
from
Social
Media
(UL
Website ):
from
Jan.
1
to
Oct.
31,
2015
Last
year:
1546
Last
year:
629
58. 04.
Lessons
Learned
Facebook
vs.
Twitter
vs.
Instagram
Reach Less
reached
Largest
Penetration
in
the
U.S.
N/A
User
Engagement Better
engaged Engaged Increasing
Multimedia
Better
reach/user
engagement
Better
reach/user
engagement
All
about
pictures
and
videos
Hashtag No
difference
Better
user
engagement
No
difference
59. 04.
Lessons
Learned
Facebook
vs.
Twitter
vs.
Instagram
for
Multimedia
940
pixels
x
788
pixels
1024
pixels
x
512
pixels
620
pixels
x
640
pixels
68. When
Usability
Meets
Social
Media
Strengthen
Your
Connections
with
Users
Yoo
Young
Lee
Digital
User
Experience
Librarian
Liaison
Librarian
to
the
School
of
Health
and
Rehabilitation
Sciences
Willie
Miller
Liaison
Librarian
to
the
School
of
Informatics
and
the
Department
of
Journalism
and
Public
Relations
Indiana
University
Purdue
University
Indianapolis