Empirical evidence of bias in public acceptance of autonomous vehicles
F Janatabadi, A Ermagun - … research part F: traffic psychology and …, 2022 - Elsevier
This study synthesizes 91 peer-reviewed survey studies examining the public acceptance of
Autonomous Vehicles (AVs). The framework of the study is informed by three questions:(1) …
Autonomous Vehicles (AVs). The framework of the study is informed by three questions:(1) …
Detecting Arabic fake news using machine learning
The rise of fake news has been the subject of several research studies in the last decade.
This is due to the increasing number of Internet users and the simplicity in posting news over …
This is due to the increasing number of Internet users and the simplicity in posting news over …
A multidimensional dataset based on crowdsourcing for analyzing and detecting news bias
The automatic detection of bias in news articles can have a high impact on society because
undiscovered news bias may influence the political opinions, social views, and emotional …
undiscovered news bias may influence the political opinions, social views, and emotional …
Engineers, aware! commercial tools disagree on social media sentiment: Analyzing the sentiment bias of four major tools
Large commercial sentiment analysis tools are often deployed in software engineering due
to their ease of use. However, it is not known how accurate these tools are, and whether the …
to their ease of use. However, it is not known how accurate these tools are, and whether the …
Combining sentiment analysis with socialization bias in social networks for stock market trend prediction
J Li, P Meesad - International Journal of Computational Intelligence …, 2016 - World Scientific
According to the indirect relationship between information and stock trend, information such
as comments and tweets can be used for stock trend prediction. When conducting …
as comments and tweets can be used for stock trend prediction. When conducting …
Sentiment analysis based approaches for understanding user context in web content
SS Kamath, A Bagalkotkar, A Kandelwal… - 2013 International …, 2013 - ieeexplore.ieee.org
In our day to day lives, we highly value the opinions of friends in making decisions about
issues like which brand to buy or which movie to watch. With the increasing popularity of …
issues like which brand to buy or which movie to watch. With the increasing popularity of …
Information reliability evaluation: from Arabic storytelling to computer sciences
The literature on information retrieval shows the importance of information reliability as a key
criterion for relevance judgment. However, information reliability evaluation is discussed in …
criterion for relevance judgment. However, information reliability evaluation is discussed in …
“News has Various Shades”: Quantifying and Analyzing Media Bias at Aspect-level Granularity
This research presents a novel approach to dissecting media narratives, with a specific
focus on aspect-level granularity and variance in addressing multifaceted news topics …
focus on aspect-level granularity and variance in addressing multifaceted news topics …
Experiments in News Bias Detection with Pre-trained Neural Transformers
T Menzner, JL Leidner - European Conference on Information Retrieval, 2024 - Springer
Abstract The World Wide Web provides unrivalled access to information globally, including
factual news reporting and commentary. However, state actors and commercial players …
factual news reporting and commentary. However, state actors and commercial players …
Defending imitating attacks in web credibility evaluation systems
Unlike traditional media such as television and newspapers, web contents are relatively
easy to be published without being rigorously fact-checked. This seriously influences …
easy to be published without being rigorously fact-checked. This seriously influences …