Social data: Biases, methodological pitfalls, and ethical boundaries

A Olteanu, C Castillo, F Diaz, E Kıcıman - Frontiers in big data, 2019 - frontiersin.org
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

Towards detecting anomalous user behavior in online social networks

B Viswanath, MA Bashir, M Crovella, S Guha… - 23rd usenix security …, 2014 - usenix.org
Users increasingly rely on crowdsourced information, such as reviews on Yelp and Amazon,
and liked posts and ads on Facebook. This has led to a market for blackhat promotion …

Search bias quantification: investigating political bias in social media and web search

J Kulshrestha, M Eslami, J Messias, MB Zafar… - Information Retrieval …, 2019 - Springer
Users frequently use search systems on the Web as well as online social media to learn
about ongoing events and public opinion on personalities. Prior studies have shown that the …

Taper: A contextual tensor-based approach for personalized expert recommendation

H Ge, J Caverlee, H Lu - Proceedings of the 10th ACM Conference on …, 2016 - dl.acm.org
We address the challenge of personalized recommendation of high quality content
producers in social media. While some candidates are easily identifiable (say, by being" …

Sampling content from online social networks: Comparing random vs. expert sampling of the twitter stream

MB Zafar, P Bhattacharya, N Ganguly… - ACM Transactions on …, 2015 - dl.acm.org
Analysis of content streams gathered from social networking sites such as Twitter has
several applications ranging from content search and recommendation, news detection to …

Characterizing information diets of social media users

J Kulshrestha, M Zafar, L Noboa, K Gummadi… - Proceedings of the …, 2015 - ojs.aaai.org
With the widespread adoption of social media sites like Twitter and Facebook, there has
been a shift in the way information is produced and consumed. Earlier, the only producers of …

Location impact on source and linguistic features for information credibility of social media

S Aladhadh, X Zhang, M Sanderson - Online Information Review, 2019 - emerald.com
Purpose Social media platforms provide a source of information about events. However, this
information may not be credible, and the distance between an information source and the …

Matching user accounts across online social networks: methods and applications

O Goga - 2014 - theses.hal.science
The proliferation of social networks and all the personal data that people share brings many
opportunities for develo** exciting new applications. At the same time, however, the …

What are you known for? Learning user topical profiles with implicit and explicit footprints

C Cao, H Ge, H Lu, X Hu, J Caverlee - Proceedings of the 40th …, 2017 - dl.acm.org
User interests and expertise are valuable but often hidden resources on social media. For
example, Twitter Lists and LinkedIn's Skill Tags provide a partial perspective on what users …

Geosocial media as a proxy for security: A review

Z Han, S Li, C Cui, D Han, H Song - IEEE Access, 2019 - ieeexplore.ieee.org
Security issues such as natural disasters and terrorist attacks have attracted increasing
global concern and attention. How to effectively detect security events has become …