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A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
A review on social spam detection: Challenges, open issues, and future directions
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …
applications such as content sharing, chatting, making friends/followers, customer …
Unsupervised social bot detection via structural information theory
Research on social bot detection plays a crucial role in maintaining the order and reliability
of information dissemination while increasing trust in social interactions. The current …
of information dissemination while increasing trust in social interactions. The current …
Auditing Elon Musk's impact on hate speech and bots
Abstract On October 27th, 2022, Elon Musk purchased Twitter, becoming its new CEO and
firing many top executives in the process. Musk listed fewer restrictions on content …
firing many top executives in the process. Musk listed fewer restrictions on content …
[HTML][HTML] Bots and misinformation spread on social media: implications for COVID-19
As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …
Measuring objective and subjective well-being: dimensions and data sources
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …
societal progress. Researchers have suggested two main approaches for the overall …
Twibot-22: Towards graph-based twitter bot detection
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 …
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …
A decade of social bot detection
S Cresci - Communications of the ACM, 2020 - dl.acm.org
A decade of social bot detection Page 1 72 COMMUNICATIONS OF THE ACM | OCTOBER
2020 | VOL. 63 | NO. 10 review articles ON THE MORNING of November 9, 2016, the world …
2020 | VOL. 63 | NO. 10 review articles ON THE MORNING of November 9, 2016, the world …
Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate
Objectives. To understand how Twitter bots and trolls (“bots”) promote online health content.
Methods. We compared bots' to average users' rates of vaccine-relevant messages, which …
Methods. We compared bots' to average users' rates of vaccine-relevant messages, which …
Botometer 101: Social bot practicum for computational social scientists
Social bots have become an important component of online social media. Deceptive bots, in
particular, can manipulate online discussions of important issues ranging from elections to …
particular, can manipulate online discussions of important issues ranging from elections to …