Zobrazeno 1 - 10
of 347
pro vyhledávání: '"Broniatowski, David"'
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e21499 (2020)
BackgroundSocial distancing is an important component of the response to the COVID-19 pandemic. Minimizing social interactions and travel reduces the rate at which the infection spreads and “flattens the curve” so that the medical system is bette
Externí odkaz:
https://doaj.org/article/4a6b60cf203d4365a705e5c9cd286393
Influence operations are large-scale efforts to manipulate public opinion. The rapid detection and disruption of these operations is critical for healthy public discourse. Emergent AI technologies may enable novel operations which evade current detec
Externí odkaz:
http://arxiv.org/abs/2305.16544
Decision making theories such as Fuzzy-Trace Theory (FTT) suggest that individuals tend to rely on gist, or bottom-line meaning, in the text when making decisions. In this work, we delineate the process of developing GisPy, an open-source tool in Pyt
Externí odkaz:
http://arxiv.org/abs/2205.12484
Misinformation promotes distrust in science, undermines public health, and may drive civil unrest. Vaccine misinformation, in particular, has stalled efforts to overcome the COVID-19 pandemic, prompting social media platforms' attempts to reduce it.
Externí odkaz:
http://arxiv.org/abs/2202.02172
Autor:
Broniatowski, David A.
Among the goals of information operations are to change the overall information environment vis-\'a-vis specific actors. For example, "trolling campaigns" seek to undermine the credibility of specific public figures, leading others to distrust them a
Externí odkaz:
http://arxiv.org/abs/2201.02257
Previous studies have shown the efficacy of knowledge augmentation methods in pretrained language models. However, these methods behave differently across domains and downstream tasks. In this work, we investigate the augmentation of pretrained langu
Externí odkaz:
http://arxiv.org/abs/2112.08615
In this work, we test the performance of two bidirectional transformer-based language models, BERT and SpanBERT, on predicting directionality in causal pairs in the textual content. Our preliminary results show that predicting direction for inter-sen
Externí odkaz:
http://arxiv.org/abs/2103.13606
Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences. We observe that the images used in satirical news articles often contain absurd or ridiculous content and
Externí odkaz:
http://arxiv.org/abs/2010.06671
There is increased interest in assisting non-expert audiences to effectively interact with machine learning (ML) tools and understand the complex output such systems produce. Here, we describe user experiments designed to study how individual skills
Externí odkaz:
http://arxiv.org/abs/2009.06675
Autor:
Broniatowski, David A., Kerchner, Daniel, Farooq, Fouzia, Huang, Xiaolei, Jamison, Amelia M., Dredze, Mark, Quinn, Sandra Crouse
On February 2, 2020, the World Health Organization declared a COVID-19 social media "infodemic", with special attention to misinformation -- frequently understood as false claims. To understand the infodemic's scope and scale, we analyzed over 500 mi
Externí odkaz:
http://arxiv.org/abs/2007.09682