Search Results for author:
Found 17 papers, 8 papers with code
Leaf: Multiple-Choice Question Generation
Testing with quiz questions has proven to be an effective way to assess and improve the educational process.
Predicting Factuality of Reporting and Bias of News Media Sources
We present a study on predicting the factuality of reporting and bias of news media.
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
Alternatively, we can profile entire news outlets and look for those that are likely to publish fake or biased content.
Fact Checking in Community Forums
Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information.
Automatic Fact-Checking Using Context and Discourse Information
We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information.
Fully Automated Fact Checking Using External Sources
Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims.
We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind!
So, we did this research on fake news/click-bait detection and trust us, it is totally great research, it really is!
We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!
And we have totally tested it, trust us!
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media
In the context of fake news, bias, and propaganda, we study two important but relatively under-explored problems: (i) trustworthiness estimation (on a 3-point scale) and (ii) political ideology detection (left/right bias on a 7-point scale) of entire news outlets, as opposed to evaluating individual articles.
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search
While typically a user would expect a single response at any utterance, a system could also return multiple options for the user to select from, based on different system understandings of the user's intent.
Tanbih: Get To Know What You Are Reading
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story.
SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression.
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2020).
DeliData: A dataset for deliberation in multi-party problem solving
Group deliberation enables people to collaborate and solve problems, however, it is understudied due to a lack of resources.
Ranked #1 on
Problem-Solving Deliberation
on DeliData
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
In education, open-ended quiz questions have become an important tool for assessing the knowledge of students.
What makes you change your mind? An empirical investigation in online group decision-making conversations
People leverage group discussions to collaborate in order to solve complex tasks, e. g. in project meetings or hiring panels.
The effect of diversity on group decision-making
We explore different aspects of cognitive diversity and its effect on the success of group deliberation.
