“I Have No Idea What a Social Bot Is”: On Users’ Perceptions of Social Bots and Ability to Detect Them
Author:
Affiliation:
1. NortonLifeLock Research Group, NortonLifeLock, United States
2. School of Computer Science, Tel Aviv University, Israel
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3527188.3561928
Reference60 articles.
1. Norah Abokhodair Daisy Yoo and David W McDonald. 2015. Dissecting a social botnet: Growth content and influence in Twitter. In CSCW. Norah Abokhodair Daisy Yoo and David W McDonald. 2015. Dissecting a social botnet: Growth content and influence in Twitter. In CSCW.
2. Abdulrahman Alarifi Mansour Alsaleh and AbdulMalik Al-Salman. 2016. Twitter turing test: Identifying social machines. Information Sciences 372(2016). Abdulrahman Alarifi Mansour Alsaleh and AbdulMalik Al-Salman. 2016. Twitter turing test: Identifying social machines. Information Sciences 372(2016).
3. Seyed Ali Alhosseini Raad Bin Tareaf Pejman Najafi and Christoph Meinel. 2019. Detect me if you can: Spam bot detection using inductive representation learning. In WWW Companion. Seyed Ali Alhosseini Raad Bin Tareaf Pejman Najafi and Christoph Meinel. 2019. Detect me if you can: Spam bot detection using inductive representation learning. In WWW Companion.
4. Eiman Alothali Nazar Zaki Elfadil A Mohamed and Hany Alashwal. 2018. Detecting social bots on Twitter: A literature review. In IIT. Eiman Alothali Nazar Zaki Elfadil A Mohamed and Hany Alashwal. 2018. Detecting social bots on Twitter: A literature review. In IIT.
5. Darren Scott Appling and Erica J Briscoe. 2017. The perception of social bots by human and machine. In IFC. Darren Scott Appling and Erica J Briscoe. 2017. The perception of social bots by human and machine. In IFC.
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