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2005.04411
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Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections
9 May 2020
Yiqing Hua
Thomas Ristenpart
Mor Naaman
AAML
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Papers citing
"Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections"
9 / 9 papers shown
Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speech
Lorenzo Alvisi
S. Tardelli
Maurizio Tesconi
970
0
0
28 Apr 2025
Mitigating Trauma in Qualitative Research Infrastructure: Roles for Machine Assistance and Trauma-Informed Design
Emily Tseng
Thomas Ristenpart
Nicola Dell
339
1
0
22 Dec 2024
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
International Conference on Human Factors in Computing Systems (CHI), 2024
Leijie Wang
Kathryn Yurechko
Pranati Dani
Quan Ze Chen
Amy X. Zhang
282
14
0
05 Sep 2024
Political Leaning Inference through Plurinational Scenarios
Joseba Fernandez de Landa
Rodrigo Agerri
202
1
0
12 Jun 2024
Understanding Longitudinal Behaviors of Toxic Accounts on Reddit
Deepak Kumar
Jeffrey T. Hancock
Kurt Thomas
Zakir Durumeric
229
4
0
06 Sep 2022
Increasing Adversarial Uncertainty to Scale Private Similarity Testing
Yiqing Hua
Armin Namavari
Kai-Wen Cheng
Mor Naaman
Thomas Ristenpart
372
8
0
03 Sep 2021
Designing Toxic Content Classification for a Diversity of Perspectives
Deepak Kumar
Patrick Gage Kelley
Sunny Consolvo
Joshua Mason
Elie Bursztein
Zakir Durumeric
Kurt Thomas
Michael C. Bailey
217
135
0
04 Jun 2021
The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums
USENIX Security Symposium (USENIX Security), 2020
Emily Tseng
Rosanna Bellini
Nora Mcdonald
Matan Danos
Rachel Greenstadt
Damon McCoy
Nicola Dell
Thomas Ristenpart
167
100
0
28 May 2020
Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates
Yiqing Hua
Mor Naaman
Thomas Ristenpart
158
49
0
09 May 2020
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