Zobrazeno 1 - 10
of 455
pro vyhledávání: '"Menczer, Filippo"'
Vaccines were critical in reducing hospitalizations and mortality during the COVID-19 pandemic. Despite their wide availability in the United States, 62% of Americans chose not to be vaccinated during 2021. While online misinformation about COVID-19
Externí odkaz:
http://arxiv.org/abs/2406.09142
Hate speech on social media is a pressing concern. Understanding the factors associated with hate speech may help mitigate it. Here we explore the association between hate speech and exposure to fake news by studying the correlation between exposure
Externí odkaz:
http://arxiv.org/abs/2404.08110
Knowledge graphs play a pivotal role in various applications, such as question-answering and fact-checking. Abstract Meaning Representation (AMR) represents text as knowledge graphs. Evaluating the quality of these graphs involves matching them struc
Externí odkaz:
http://arxiv.org/abs/2404.02126
Autor:
DeVerna, Matthew R., Pierri, Francesco, Ahn, Yong-Yeol, Fortunato, Santo, Flammini, Alessandro, Menczer, Filippo
Understanding how misinformation affects the spread of disease is crucial for public health, especially given recent research indicating that misinformation can increase vaccine hesitancy and discourage vaccine uptake. However, it is difficult to inv
Externí odkaz:
http://arxiv.org/abs/2402.11351
Recent advancements in generative artificial intelligence (AI) have raised concerns about their potential to create convincing fake social media accounts, but empirical evidence is lacking. In this paper, we present a systematic analysis of Twitter (
Externí odkaz:
http://arxiv.org/abs/2401.02627
Autor:
Yang, Kai-Cheng, Varol, Onur, Nwala, Alexander C., Sayyadiharikandeh, Mohsen, Ferrara, Emilio, Flammini, Alessandro, Menczer, Filippo
While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges and their analysis. In this Chapter, we focus on malicious social bot
Externí odkaz:
http://arxiv.org/abs/2312.17423
Autor:
Augenstein, Isabelle, Baldwin, Timothy, Cha, Meeyoung, Chakraborty, Tanmoy, Ciampaglia, Giovanni Luca, Corney, David, DiResta, Renee, Ferrara, Emilio, Hale, Scott, Halevy, Alon, Hovy, Eduard, Ji, Heng, Menczer, Filippo, Miguez, Ruben, Nakov, Preslav, Scheufele, Dietram, Sharma, Shivam, Zagni, Giovanni
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. These incredibly useful, natural-sounding tools mark significant advances in natu
Externí odkaz:
http://arxiv.org/abs/2310.05189
Fact checking can be an effective strategy against misinformation, but its implementation at scale is impeded by the overwhelming volume of information online. Recent artificial intelligence (AI) language models have shown impressive ability in fact-
Externí odkaz:
http://arxiv.org/abs/2308.10800
Autor:
Yang, Kai-Cheng, Menczer, Filippo
Publikováno v:
Journal of Quantitative Description: Digital Media (2024)
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 fake content with a deceptive intention, although evidence thus far re
Externí odkaz:
http://arxiv.org/abs/2307.16336
Autor:
Jahn, Laura, Rendsvig, Rasmus K., Flammini, Alessandro, Menczer, Filippo, Hendricks, Vincent F.
Social media has enabled the spread of information at unprecedented speeds and scales, and with it the proliferation of high-engagement, low-quality content. *Friction* -- behavioral design measures that make the sharing of content more cumbersome --
Externí odkaz:
http://arxiv.org/abs/2307.11498