Role of sentiment analysis in social media security and analytics
Social media, in recent times, has with eased an explosion of data with so many social
media platforms available to interact and express opinions freely. This has led to easy …
media platforms available to interact and express opinions freely. This has led to easy …
A structured response to misinformation: Defining and annotating credibility indicators in news articles
The proliferation of misinformation in online news and its amplification by platforms are a
growing concern, leading to numerous efforts to improve the detection of and response to …
growing concern, leading to numerous efforts to improve the detection of and response to …
[PDF][PDF] DecOp: A multilingual and multi-domain corpus for detecting deception in typed text
In recent years, the increasing interest in the development of automatic approaches for
unmasking deception in online sources led to promising results. Nonetheless, among the …
unmasking deception in online sources led to promising results. Nonetheless, among the …
How Entangled is Factuality and Deception in German?
The statement" The earth is flat" is factually inaccurate, but if someone truly believes and
argues in its favor, it is not deceptive. Research on deception detection and fact checking …
argues in its favor, it is not deceptive. Research on deception detection and fact checking …
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception
If a person firmly believes in a non-factual statement, such as" The Earth is flat", and argues
in its favor, there is no inherent intention to deceive. As the argumentation stems from …
in its favor, there is no inherent intention to deceive. As the argumentation stems from …
Deception Detection Across Domains, Languages and Modalities
S Panda - 2022 - search.proquest.com
With the increase of deception and misinformation especially in social media, it has become
crucial to develop machine learning methods to automatically identify deception. In this …
crucial to develop machine learning methods to automatically identify deception. In this …
[图书][B] Networked Trust: Computational Understanding of Interpersonal Trust Online
X Ma - 2019 - search.proquest.com
My doctoral research develops a deeper understanding of interpersonal trust online through
computational methods, in the context of online exchange platforms including peer-to-peer …
computational methods, in the context of online exchange platforms including peer-to-peer …
Deception Detection Within and Across Domains: Identifying and Understanding the Performance Gap
S Panda, S Levitan - ACM Journal of Data and Information Quality, 2022 - dl.acm.org
NLP approaches to automatic deception detection have gained popularity over the past few
years, especially with the proliferation of fake reviews and fake news online. However, most …
years, especially with the proliferation of fake reviews and fake news online. However, most …
Truth, lie and hypocrisy
B Galitsky, B Galitsky - Artificial Intelligence for Customer Relationship …, 2021 - Springer
Automated detection of text with misrepresentations such as fake reviews is an important
task for online reputation management. We form the Ultimate Deception Dataset that …
task for online reputation management. We form the Ultimate Deception Dataset that …
An anatomy of a lie
D Pisarevskaya, B Galitsky, J Taylor… - … Proceedings of The 2019 …, 2019 - dl.acm.org
Automated detection of text with misrepresentations such as fake reviews is an important
task for online reputation management. The dataset of customer complaints-emotionally …
task for online reputation management. The dataset of customer complaints-emotionally …