Social bot detection in the age of ChatGPT: Challenges and opportunities

E Ferrara - First Monday, 2023 - firstmonday.org
We present a comprehensive overview of the challenges and opportunities in social bot
detection in the context of the rise of sophisticated AI-based chatbots. By examining the state …

The efficacy of Facebook's vaccine misinformation policies and architecture during the COVID-19 pandemic

DA Broniatowski, JR Simons, J Gu, AM Jamison… - Science …, 2023 - science.org
Online misinformation promotes distrust in science, undermines public health, and may drive
civil unrest. During the coronavirus disease 2019 pandemic, Facebook—the world's largest …

The covid-19 infodemic: Twitter versus facebook

KC Yang, F Pierri, PM Hui, D Axelrod… - Big Data & …, 2021 - journals.sagepub.com
The global spread of the novel coronavirus is affected by the spread of related
misinformation—the so-called COVID-19 Infodemic—that makes populations more …

Bond: Benchmarking unsupervised outlier node detection on static attributed graphs

K Liu, Y Dou, Y Zhao, X Ding, X Hu… - Advances in …, 2022 - proceedings.neurips.cc
Detecting which nodes in graphs are outliers is a relatively new machine learning task with
numerous applications. Despite the proliferation of algorithms developed in recent years for …

Factuality challenges in the era of large language models

I Augenstein, T Baldwin, M Cha, T Chakraborty… - arXiv preprint arXiv …, 2023 - arxiv.org
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's
ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention …

Social drivers and algorithmic mechanisms on digital media

H Metzler, D Garcia - Perspectives on Psychological Science, 2023 - journals.sagepub.com
On digital media, algorithms that process data and recommend content have become
ubiquitous. Their fast and barely regulated adoption has raised concerns about their role in …

Anatomy of an AI-powered malicious social botnet

KC Yang, F Menczer - arXiv preprint arXiv:2307.16336, 2023 - arxiv.org
Large language models (LLMs) exhibit impressive capabilities in generating realistic text
across diverse subjects. Concerns have been raised that they could be utilized to produce …

A survey on multimodal disinformation detection

F Alam, S Cresci, T Chakraborty, F Silvestri… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent years have witnessed the proliferation of offensive content online such as fake news,
propaganda, misinformation, and disinformation. While initially this was mostly about textual …

[HTML][HTML] Social network analysis of Twitter interactions: a directed multilayer network approach

AP Logan, PM LaCasse, BJ Lunday - Social Network Analysis and Mining, 2023 - Springer
Effective employment of social media for any social influence outcome requires a detailed
understanding of the target audience. Social media provides a rich repository of self …

Attacking fake news detectors via manipulating news social engagement

H Wang, Y Dou, C Chen, L Sun, PS Yu… - Proceedings of the ACM …, 2023 - dl.acm.org
Social media is one of the main sources for news consumption, especially among the
younger generation. With the increasing popularity of news consumption on various social …