Out-group animosity drives engagement on social media
S Rathje, JJ Van Bavel… - Proceedings of the …, 2021 - National Acad Sciences
There has been growing concern about the role social media plays in political polarization.
We investigated whether out-group animosity was particularly successful at generating …
We investigated whether out-group animosity was particularly successful at generating …
A behaviorist perspective on how to address negative consumer behaviors
C Janiszewski, J Laran - Consumer Psychology Review, 2024 - Wiley Online Library
The cognitivist paradigm has dominated the past 50 years of consumer research. Cognitivist
theories have provided extensive insights into pre‐consumption behaviors (ie, information …
theories have provided extensive insights into pre‐consumption behaviors (ie, information …
Machine learning and deep learning for sentiment analysis across languages: A survey
EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
Clustering and sentiment analysis on Twitter data
S Ahuja, G Dubey - 2017 2nd international conference on …, 2017 - ieeexplore.ieee.org
Twitter is a social media platform is a great place where people from all parts of the world
can make their opinions heard. Twitter produces around 500 million of tweets daily which …
can make their opinions heard. Twitter produces around 500 million of tweets daily which …
Dual emotion based fake news detection: A deep attention-weight update approach
The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …
environment. This phenomenon requires automated detection of fake news to reduce its …
Machine learning-based sentiment analysis for twitter accounts
Growth in the area of opinion mining and sentiment analysis has been rapid and aims to
explore the opinions or text present on different platforms of social media through machine …
explore the opinions or text present on different platforms of social media through machine …
The MAD model of moral contagion: The role of motivation, attention, and design in the spread of moralized content online
WJ Brady, MJ Crockett… - … on Psychological Science, 2020 - journals.sagepub.com
With more than 3 billion users, online social networks represent an important venue for
moral and political discourse and have been used to organize political revolutions, influence …
moral and political discourse and have been used to organize political revolutions, influence …
[图书][B] Affective publics: Sentiment, technology, and politics
Z Papacharissi - 2015 - books.google.com
Over the past few decades, we have witnessed the growth of movements using digital
means to connect with broader interest groups and express their points of view. These …
means to connect with broader interest groups and express their points of view. These …
Brand public
A Arvidsson, A Caliandro - Journal of consumer research, 2016 - academic.oup.com
The concept of brand community has been used to understand how consumers create value
around brands online. Recently consumer researchers have begun to debate the relevance …
around brands online. Recently consumer researchers have begun to debate the relevance …
Behavioral effects of framing on social media users: How conflict, economic, human interest, and morality frames drive news sharing
S Valenzuela, M Piña, J Ramírez - Journal of communication, 2017 - academic.oup.com
We hypothesize that generic frames influence what news people share on Facebook and
Twitter through three different routes: emotions, motivations, and psychological engagement …
Twitter through three different routes: emotions, motivations, and psychological engagement …