Academic Journal
Antecedents of social media activism: an analytical study of a controversial topic.
| Τίτλος: | Antecedents of social media activism: an analytical study of a controversial topic. |
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| Συγγραφείς: | Workman, Michael Dee |
| Πηγή: | Behaviour & Information Technology; Mar2021, Vol. 40 Issue 3, p300-310, 11p, 2 Charts |
| Θεματικοί όροι: | Personality, Research, Deep learning, Social media, Natural language processing, Pessimism, Descriptive statistics, Data analysis software, Data mining, Optimism |
| Περίληψη: | Using a data mining and deep machine learning technology and method, we conducted a multi-staged investigation of whether social media influenced people's opinions or merely confirmed already held beliefs, and furthermore, whether those social media conversations lead to people taking increasingly affirmative actions. We found that social media did tend to reinforce beliefs, but there were exceptions depending on certain personality antecedents. Additionally, the results were moderated by the affect intensity of participant sentiments. Building from these findings, we further studied whether or not people would take increasingly aggressive actions. We found that personality characteristics as an interaction with how strongly they felt about the subject, positively or negatively, did cause some people to take increasingly active measures. [ABSTRACT FROM AUTHOR] |
| Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Antecedents of social media activism: an analytical study of a controversial topic. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Workman%2C+Michael+Dee%22">Workman, Michael Dee</searchLink> – Name: TitleSource Label: Source Group: Src Data: Behaviour & Information Technology; Mar2021, Vol. 40 Issue 3, p300-310, 11p, 2 Charts – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Personality%22">Personality</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Pessimism%22">Pessimism</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Optimism%22">Optimism</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Using a data mining and deep machine learning technology and method, we conducted a multi-staged investigation of whether social media influenced people's opinions or merely confirmed already held beliefs, and furthermore, whether those social media conversations lead to people taking increasingly affirmative actions. We found that social media did tend to reinforce beliefs, but there were exceptions depending on certain personality antecedents. Additionally, the results were moderated by the affect intensity of participant sentiments. Building from these findings, we further studied whether or not people would take increasingly aggressive actions. We found that personality characteristics as an interaction with how strongly they felt about the subject, positively or negatively, did cause some people to take increasingly active measures. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0144929X.2019.1687755 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 300 Subjects: – SubjectFull: Personality Type: general – SubjectFull: Research Type: general – SubjectFull: Deep learning Type: general – SubjectFull: Social media Type: general – SubjectFull: Natural language processing Type: general – SubjectFull: Pessimism Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Data mining Type: general – SubjectFull: Optimism Type: general Titles: – TitleFull: Antecedents of social media activism: an analytical study of a controversial topic. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Workman, Michael Dee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 0144929X Numbering: – Type: volume Value: 40 – Type: issue Value: 3 Titles: – TitleFull: Behaviour & Information Technology Type: main |
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