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 …
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
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 …
civil unrest. During the coronavirus disease 2019 pandemic, Facebook—the world's largest …
The covid-19 infodemic: Twitter versus facebook
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 …
misinformation—the so-called COVID-19 Infodemic—that makes populations more …
Bond: Benchmarking unsupervised outlier node detection on static attributed graphs
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 …
numerous applications. Despite the proliferation of algorithms developed in recent years for …
Factuality challenges in the era of large language models
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 …
ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention …
Social drivers and algorithmic mechanisms on digital media
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 …
ubiquitous. Their fast and barely regulated adoption has raised concerns about their role in …
Anatomy of an AI-powered malicious social botnet
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 …
across diverse subjects. Concerns have been raised that they could be utilized to produce …
A survey on multimodal disinformation detection
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 …
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 …
understanding of the target audience. Social media provides a rich repository of self …
Attacking fake news detectors via manipulating news social engagement
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 …
younger generation. With the increasing popularity of news consumption on various social …