Twibot-22: Towards graph-based twitter bot detection

S Feng, Z Tan, H Wan, N Wang… - Advances in …, 2022 - proceedings.neurips.cc
Twitter bot detection has become an increasingly important task to combat misinformation,
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …

Social media, sentiment and public opinions: Evidence from# Brexit and# USElection

Y Gorodnichenko, T Pham, O Talavera - European Economic Review, 2021 - Elsevier
This paper studies information diffusion in social media and the potential role of bots in
influencing public opinions. Using Twitter data on the 2016 EU Referendum (“Brexit”) and …

Computational propaganda worldwide: Executive summary

S Woolley, P Howard - 2017 - ora.ox.ac.uk
The Computational Propaganda Research Project at the Oxford Internet Institute, University
of Oxford, has researched the use of social media for public opinion manipulation. The team …

Tampering with Twitter's sample API

J Pfeffer, K Mayer, F Morstatter - EPJ Data Science, 2018 - epjds.epj.org
Social media data is widely analyzed in computational social science. Twitter, one of the
largest social media platforms, is used for research, journalism, business, and government …

Social bots' sentiment engagement in health emergencies: A topic-based analysis of the COVID-19 pandemic discussions on Twitter

W Shi, D Liu, J Yang, J Zhang, S Wen, J Su - International Journal of …, 2020 - mdpi.com
During the COVID-19 pandemic, when individuals were confronted with social distancing,
social media served as a significant platform for expressing feelings and seeking emotional …

Chinese computational propaganda: automation, algorithms and the manipulation of information about Chinese politics on Twitter and Weibo

G Bolsover, P Howard - Information, communication & society, 2019 - Taylor & Francis
ABSTRACT A 2016 review of literature about automation, algorithms and politics identified
China as the foremost area in which further research was needed because of the size of its …

Computational propaganda in the United States of America: Manufacturing consensus online

S Woolley, D Guilbeault - 2017 - ora.ox.ac.uk
Do bots have the capacity to influence the flow of political information over social media?
This working paper answers this question through two methodological avenues: A) a …

Social media, news and political information during the US election: Was polarizing content concentrated in swing states?

PN Howard, B Kollanyi, S Bradshaw… - arXiv preprint arXiv …, 2018 - arxiv.org
US voters shared large volumes of polarizing political news and information in the form of
links to content from Russian, WikiLeaks and junk news sources. Was this low quality …

Detecting troll behavior via inverse reinforcement learning: A case study of russian trolls in the 2016 us election

L Luceri, S Giordano, E Ferrara - … of the international AAAI conference on …, 2020 - aaai.org
Since the 2016 US Presidential election, social media abuse has been eliciting massive
concern in the academic community and beyond. Preventing and limiting the malicious …

Buzzface: A news veracity dataset with facebook user commentary and egos

G Santia, J Williams - Proceedings of the international AAAI conference …, 2018 - ojs.aaai.org
Veracity assessment of news and social bot detection have become two of the most pressing
issues for social media platforms, yet current gold-standard data are limited. This paper …