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Overview of GermEval Task 2, 2019 shared task on the identification of offensive language
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| 22 |
Using social media and personality traits to assess software developers' emotions ...
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Using social media and personality traits to assess software developers' emotions ...
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Exploring the Effects of Linguistic Elements of Social Media Corporate Apologies on Consumer Responses
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In: Association of Marketing Theory and Practice Proceedings 2022 (2022)
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| 25 |
"Geil dabei zu sein" - Livestreams als Kommunikationsmittel rechtsextremer Proteste
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In: ZRex - Zeitschrift für Rechtsextremismusforschung ; 2 ; 1 ; 72-90 (2022)
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| 26 |
Spanish Tipsters and the Millennial and Centennial Generations in the Scenario of a Pandemic
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In: Media and Communication ; 10 ; 1 ; 286-296 ; New Narratives for New Consumers: Influencers and the Millennial and Centennial Generations (2022)
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| 27 |
Using Campaign Communications to Analyze Civility in Ranked Choice Voting Elections
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In: Politics and Governance ; 9 ; 2 ; 280-292 ; The Politics, Promise and Peril of Ranked Choice Voting (2022)
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| 28 |
Invective Gaze - Das digitale Bild und die Kultur der Beschämung
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In: 99 ; Edition Medienwissenschaft ; 206 (2022)
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| 29 |
Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
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Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
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In: 46 ; Digitale Gesellschaft ; 327 (2022)
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| 30 |
Online Networks and Subjective Well‐Being: The Effect of "Big Five Personality Traits"
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In: Social Inclusion ; 9 ; 4 ; 399-412 ; In Good Company? Personal Relationships, Network Embeddedness, and Social Inclusion (2022)
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Health TrueInfo: A multilingual Android app and social media approach in tackling COVID-19 vaccine misinformation and hesitancy in Bolivia, India, and Canada
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In: University of Toronto Journal of Public Health; Vol. 3 No. 1 (2022): Special Issue of Abstracts from Conferences ; 2563-1454 (2022)
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| 32 |
Social Media and Intercultural Learning: An approach to EFL for Secondary Students
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| 33 |
Detecting weak and strong Islamophobic hate speech on social media
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| 34 |
Multi-National Topics Maps for Parliamentary Debate Analysis
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| 35 |
COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic
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In: Multimed Tools Appl (2022)
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| 36 |
Word Frequency Analysis of Community Reaction to Religious Violence on Social Media
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In: School of Computer Science & Engineering Faculty Publications (2022)
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Abstract:
Researchers in data science, psychology, and linguistics have recognized the value in assessing community reactions to traumatic experiences on social media. Twitter in particular, is popular for sharing opinions and discussing current events. In this work, we collect and analyze the reaction to three shootings at different houses of worship. Three events were chosen: the massacre at the Emanuel Church in Charleston, NC, the massacre at the Tree of Life Synagogue in Pittsburg, PA, and the massacres at two mosques in Christchurch, New Zealand. The events were all committed by shooters with a similar supremacist mentality. We used the python programming language to collect the data from twitter using popular hashtags for the events. We then cleaned it up by removing punctuation, web links, stop words, hashtags, and foreign letters. We then did a word frequency count on the remaining words, and generated word clouds for each event. We also did a search for well-known hate words in the corpus. We found out that the three events generate a different amount of chatter and people use very different words to describe each of them. The church dataset had the most varied set of popular words with the shooter’s name being the most used. The synagogue dataset had the least amount of tweets and two words dominating the discussion: “shooting” and “synagogue”. The mosque dataset had the least discussion about the shooter in comparison to the other events. On the positive side, very few hate tweets were found in any dataset.
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Keyword:
Community Psychology; Community-Based Research; Computational Linguistics; Data Science; Religious violence; Social media; Word frequency
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URL: https://link.springer.com/chapter/10.1007%2F978-3-030-80119-9_39
https://digitalcommons.sacredheart.edu/computersci_fac/159
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| 37 |
Examining negative online social reaction to police use of force : the George Floyd and Jacob Blake events
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| 38 |
Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας
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| 40 |
Alt-Education: Gender, language, and education across the right
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In: Doctoral Dissertations (2022)
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