activity
20172022
most citedAre Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications

76 citations · 81 across the 3 of their papers we have counts for

collaborators

6 papers

cs.HC202276 cited

Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications

Dilrukshi Gamage, Piyush Ghasiya, Vamshi Krishna Bonagiri +2

Deepfakes are synthetic content generated using advanced deep learning and AI technologies. The advancement of technology has created opportunities for anyone to create and share d…

cs.CL20213 cited

Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages

Maneet Singh, Rishemjit Kaur, Akiko Matsuo +2

Moral psychology is a domain that deals with moral identity, appraisals and emotions. Previous work has primarily focused on moral development and the associated role of culture. K…

cs.CY2020

Characterizing the roles of bots during the COVID-19 infodemic on Twitter

Wentao Xu, Kazutoshi Sasahara

An infodemic is an emerging phenomenon caused by an overabundance of information online. This proliferation of information makes it difficult for the public to distinguish trustwor…

cs.CY2018

You are what you eat: A social media study of food identity

Kazutoshi Sasahara

Food preferences not only originate from a person's dietary habits, but also reflect personal values and consumer awareness. This study addresses `food identity' or the relationshi…

cs.CY2018

Development and Validation of the Japanese Moral Foundations Dictionary

Akiko Matsuo, Kazutoshi Sasahara, Yasuhiro Taguchi +1

The Moral Foundations Dictionary (MFD) is a useful tool for applying the conceptual framework developed in Moral Foundations Theory and quantifying the moral meanings implicated in…

cs.CY20172 cited

Inference of Personal Attributes from Tweets Using Machine Learning

Take Yo, Kazutoshi Sasahara

Using machine learning algorithms, including deep learning, we studied the prediction of personal attributes from the text of tweets, such as gender, occupation, and age groups. We…