3. Awards
Thanks to everyone who
voted!
We have three awards:
Best paper
Best student paper
New! Best dataset
4. Best paper finalists
Distributional Footprints of Deceptive Grief-Stricken in a Crowd: The language of
Product Reviews. Bereavement and Distress in Social Media.
Song Feng, Longfei Xing, Anupam Gogar and Jed R. Brubaker, Funda Kivran-Swaine, Lee
Yejin Choi. Taber, Gillian R. Hayes.
Privacy in Interaction: Exploring Disclosure The Emergence of Conventions in Online
and Social Capital in Facebook. Social Networks.
Fred Stutzman, Jessica Vitak, Nicole B. Farshad Kooti, Haeryun Yang, Meeyoung
Ellison , Rebecca Gray and Cliff Lampe. Cha, Krishna P. Gummadi, Winter A. Mason.
The Livehoods Project: Utilizing Social Media So.cl: Interest Network for Informal Learning.
to Understand the Dynamics of a City.
Shelly D. Farnham, Michal Lahav, David
Justin Cranshaw, Raz Schwartz, Jason Hong Raskino, Lili Cheng, Steven Ickman, Tom
and Norman Sadeh. Laird-McConnell.
Modeling Spread of Disease from Social Grassroots Professional Development: How
Interactions. Teachers Use Twitter.
Adam Sadilek, Henry Kautz and Vincent Andrea Forte, Melissa Humphreys, Thomas
Silenzio. Park.
5. Best paper award
$500
Sponsored by Google
The Livehoods Project:
Utilizing Social Media to
Understand the Dynamics of
a City.
Justin Cranshaw, Raz
Schwartz, Jason Hong and
Norman Sadeh.
6. Best paper award
$500
Sponsored by Google
The Emergence of
Conventions in Online Social
Networks.
Farshad Kooti, Haeryun Yang,
Meeyoung Cha, Krishna P.
Gummadi, Winter A. Mason.
7. Shared dataset authors
Z Luo, Miles O and T Wang. Opinion Retrieval in
Twitter.
Y He, C Lin, W Gao, and KF Wong. Tracking
L Chen, W Wang, M Nagarajan, S Wang and AP Sentiment and Topic Dynamics from Social Media.
Sheth. Extracting Diverse Sentiment Expressions
with Target-dependent Polarity from Twitter. D O'Callaghan, M Harrigan, J Carthy, and P
Cunningham. Network Analysis of Recurring
J Mahmud, J Nichols, and C Drews. Where is This YouTube Spam Campaigns.
Tweet From? Inferring Home Locations of Twitter
Users. P Agarwal, R Vaithiyanathan, S Sharma, and G
Shroff. Catching the Long-Tail: Extracting Local
L Rossi and M Magnani. Conversation Practices News Events from Twitter.
and Network Structure in Twitter.
FA Zamal, W Liu, and D Ruths. Homophily and
LM Aiello, M Deplano, R Schifanella, and G Ruffo. Latent Attribute Inference: Inferring Latent
People are Strange When You're a Stranger: Attributes of Twitter Users from Neighbors.
Impact and Influence of Bots on Social Networks.
F Giglietto. If Likes Were Votes: An Empirical Study
J Park, M Cha, H Kim, and J Jeong. Managing on the 2011 Italian Administrative Elections.
Bad News in Social Media: A Case Study on
Domino’s Pizza Crisis.
8. Shared dataset finalists
Z Luo, Miles O and T Wang. Opinion Retrieval in
Twitter.
Y He, C Lin, W Gao, and KF Wong. Tracking
L Chen, W Wang, M Nagarajan, S Wang and AP Sentiment and Topic Dynamics from Social Media.
Sheth. Extracting Diverse Sentiment Expressions
with Target-dependent Polarity from Twitter. D O'Callaghan, M Harrigan, J Carthy, and P
Cunningham. Network Analysis of Recurring
J Mahmud, J Nichols, and C Drews. Where is This YouTube Spam Campaigns.
Tweet From? Inferring Home Locations of Twitter
Users. P Agarwal, R Vaithiyanathan, S Sharma, and G
Shroff. Catching the Long-Tail: Extracting Local
L Rossi and M Magnani. Conversation Practices News Events from Twitter.
and Network Structure in Twitter.
FA Zamal, W Liu, and D Ruths. Homophily and
LM Aiello, M Deplano, R Schifanella, and G Ruffo. Latent Attribute Inference: Inferring Latent
People are Strange When You're a Stranger: Attributes of Twitter Users from Neighbors.
Impact and Influence of Bots on Social Networks.
F Giglietto. If Likes Were Votes: An Empirical Study
J Park, M Cha, H Kim, and J Jeong. Managing on the 2011 Italian Administrative Elections.
Bad News in Social Media: A Case Study on
Domino’s Pizza Crisis.
9. Best dataset award
$250
People are Strange When You're a
Stranger: Impact and Influence of Bots
on Social Networks
LM Aiello, M Deplano, R Schifanella, and G
Ruffo
Mapped the entire aNobii social graph,
both in terms of explicit structure as well
as messaging structure
These networks consist of 1.5 million and
670k edges
“It was an impressive effort and a novel
dataset”