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Social Media + Society, 2022 This study analyzes how vaccine-opposed users on Instagram share anti-vaccine content despite facing growing moderation attempts by the platform. Through a thematic analysis of Instagram content (in-feed and ephemeral “stories”) of a sample of vaccine ...
Rachel E. Moran +2 more
doaj +1 more source
A Study on Sentiment Analysis Techniques of Twitter Data
International Journal of Advanced Computer Science and Applications, 2023 The entire world is transforming quickly under the present innovations. The Internet has become a basic requirement for everybody with the Web being utilized in every field.
Abdullah Alsaeedi, M. Zubair
semanticscholar +1 more source
Development of a new measure to check attitude towards water conservation✰
MethodsX, 2023 Water Conservation is the need of the hour and attitudes towards conserving the resources is what is sure to become a priority in the coming years. In order to understand what could influence the change in attitude and thereby bring about a change of ...
R. Archana Reddy +3 more
doaj +1 more source
Flocking to Mastodon: Tracking the Great Twitter Migration [PDF]
ACM/SIGCOMM Internet Measurement Conference, 2023 The acquisition of Twitter by Elon Musk has spurred controversy and uncertainty among Twitter users. The move raised both praise and concerns, particularly regarding Musk's views on free speech.
Jiahui He +5 more
semanticscholar +1 more source
Pollen data from bottom sediments of a tundra lake in the Yerkuta River basin on the Yamal Peninsula
Data in Brief, 2022 This article extends the findings of our previous research “Preliminary reconstruction of climate changes and vegetation cover inferred from pollen study of the arctic lake bottom sediments from the southwestern part of the Yamal Peninsula” (G.R ...
Gulnara Nigamatzyanova +4 more
doaj +1 more source
TwiBot-22: Towards Graph-Based Twitter Bot Detection [PDF]
Neural Information Processing Systems, 2022 Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse.
Shangbin Feng +21 more
semanticscholar +1 more source
Survey data and human computation for improved flu tracking
Nature Communications, 2021 Digital trace data from search engines lacks information about the experiences of the individuals generating the data. Here the authors link search data and human computation to build a tracking model of influenza-like illness.
Stefan Wojcik +7 more
doaj +1 more source
COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter [PDF]
Frontiers in Artificial Intelligence, 2020 Introduction This study presents COVID-Twitter-BERT (CT-BERT), a transformer-based model that is pre-trained on a large corpus of COVID-19 related Twitter messages. CT-BERT is specifically designed to be used on COVID-19 content, particularly from social
Martin Müller +2 more
semanticscholar +1 more source
Data in Brief, 2022 Hexagonal, carbon-based structures were prepared on bare and treated copper foil substrates by Chemical Vapor Deposition at 1075 ᵒC using a graphite box for limiting copper reactivity with hydrocarbon gases during growth reactions.
Fahd Rajab
doaj +1 more source
What is the Value of Experimentation and Measurement?
Data Science and Engineering, 2020 Experimentation and Measurement (E&M) capabilities allow organizations to accurately assess the impact of new propositions and to experiment with many variants of existing products.
C. H. Bryan Liu +2 more
doaj +1 more source