Bots and online hate during the COVID-19 pandemic: case studies in the United States and the Philippines
Online hate speech represents a serious problem exacerbated by the ongoing COVID-19
pandemic. Although often anchored in real-world social divisions, hate speech in …
pandemic. Although often anchored in real-world social divisions, hate speech in …
[PDF][PDF] Bot-hunter: a tiered approach to detecting & characterizing automated activity on twitter
As malicious automated agents, or bots, are increasingly used to manipulate the global
marketplace of information and beliefs, their detection, characterization, and at times …
marketplace of information and beliefs, their detection, characterization, and at times …
How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter
Previous research dedicated a lot of effort to investigation of the activities of the Internet
Research Agency, a Russia-based troll factory, as well as other information operations …
Research Agency, a Russia-based troll factory, as well as other information operations …
Characterizing network dynamics of online hate communities around the COVID-19 pandemic
Hate speech has long posed a serious problem for the integrity of digital platforms. Although
significant progress has been made in identifying hate speech in its various forms, prevailing …
significant progress has been made in identifying hate speech in its various forms, prevailing …
A synchronized action framework for responsible detection of coordination on social media
The study of coordinated manipulation of conversations on social media has become more
prevalent as social media's role in amplifying misinformation, hate, and polarization has …
prevalent as social media's role in amplifying misinformation, hate, and polarization has …
Measuring node contribution to community structure with modularity vitality
T Magelinski, M Bartulovic… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Community-aware centrality is an emerging research area in network science concerned
with the importance of nodes in relation to community structure. Measures are a function of a …
with the importance of nodes in relation to community structure. Measures are a function of a …
Bot conversations are different: leveraging network metrics for bot detection in twitter
Automated social media bots have existed almost as long as the social media platforms they
inhabit. Although efforts have long existed to detect and characterize these autonomous …
inhabit. Although efforts have long existed to detect and characterize these autonomous …
Affective polarization in online climate change discourse on twitter
Online social media has become an important platform to organize around different socio-
cultural and political topics. An extensive scholarship has discussed how people are divided …
cultural and political topics. An extensive scholarship has discussed how people are divided …
Identifying cross-platform user relationships in 2020 US election fraud and protest discussions
Understanding how social media users interact with each other and spread information
across multiple platforms is critical for developing effective methods for promoting truthful …
across multiple platforms is critical for developing effective methods for promoting truthful …
SoK: Social Cybersecurity
We analyze prior work in social cybersecurity and present a structuring of this literature
based on its pertinence to four S&P-relevant social behaviors:(1) negotiating access to …
based on its pertinence to four S&P-relevant social behaviors:(1) negotiating access to …