Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media
M Cai, H Luo, X Meng, Y Cui, W Wang - Information Processing & …, 2023 - Elsevier
When public health emergencies occur, a large amount of low-credibility information is
widely disseminated by social bots, and public sentiment is easily manipulated by social …
widely disseminated by social bots, and public sentiment is easily manipulated by social …
Why botter: how pro-government bots fight opposition in Russia
D Stukal, S Sanovich, R Bonneau… - … political science review, 2022 - cambridge.org
There is abundant anecdotal evidence that nondemocratic regimes are harnessing new
digital technologies known as social media bots to facilitate policy goals. However, few …
digital technologies known as social media bots to facilitate policy goals. However, few …
Computational social science of disasters: Opportunities and challenges
Disaster events and their economic impacts are trending, and climate projection studies
suggest that the risks of disaster will continue to increase in the near future. Despite the …
suggest that the risks of disaster will continue to increase in the near future. Despite the …
[HTML][HTML] Profiling users and bots in Twitter through social media analysis
Social networks were designed to connect people online but have also been exploited to
launch influence operations for manipulating society. The deployment of social bots has …
launch influence operations for manipulating society. The deployment of social bots has …
Bayesian graph local extrema convolution with long-tail strategy for misinformation detection
It has become a cardinal task to identify fake information (misinformation) on social media,
because it has significantly harmed the government and the public. There are many spam …
because it has significantly harmed the government and the public. There are many spam …
Bot stamina: examining the influence and staying power of bots in online social networks
This study presents a novel approach to expand the emergent area of social bot research.
We employ a methodological framework that aggregates and fuses data from multiple global …
We employ a methodological framework that aggregates and fuses data from multiple global …
Maximum entropy networks for large scale social network node analysis
B De Clerck, LEC Rocha, F Van Utterbeeck - Applied Network Science, 2022 - Springer
Recently proposed computational techniques allow the application of various maximum
entropy network models at a larger scale. We focus on disinformation campaigns and apply …
entropy network models at a larger scale. We focus on disinformation campaigns and apply …
Insights into elections: An ensemble bot detection coverage framework applied to the 2018 US midterm elections
RJ Schuchard, AT Crooks - Plos one, 2021 - journals.plos.org
The participation of automated software agents known as social bots within online social
network (OSN) engagements continues to grow at an immense pace. Choruses of concern …
network (OSN) engagements continues to grow at an immense pace. Choruses of concern …
Detecting engagement bots on social influencer marketing
Influencer fraud, which can significantly damage authentic influencers and companies, has
become one of the most important problems that can adversely affect the influencer …
become one of the most important problems that can adversely affect the influencer …
Cultural differences in friendship network behaviors: A snapchat case study
Culture shapes people's behavior, both online and offline. Surprisingly, there is sparse
research on how cultural context affects network formation and content consumption on …
research on how cultural context affects network formation and content consumption on …