Searching Twitter: Separating the Tweet from the Chaff Article Swipe
Jonathan Hurlock
,
Max L. Wilson
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1609/icwsm.v5i1.14117
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1609/icwsm.v5i1.14117
Within the millions of digital communications posted in online social networks, there is undoubtedly some valuable and useful information. Although a large portion of social media content is considered to be babble, research shows that people share useful links, provide recommendations to friends, answer questions, and solve problems. In this paper, we report on a qualitative investigation into the different factors that make tweets ‘useful’ and ‘not useful’ for a set of common search tasks. The investigation found 16 features that help make a tweet useful, noting that useful tweets often showed 2 or 3 of these features. ‘Not useful’ tweets, however, typically had only one of 17 clear and striking features. Further, we saw that these features can be weighted as according to different types of search tasks. Our results contribute a novel framework for extracting useful information from real-time streams of social-media content that will be used in the design of a future retrieval system.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/icwsm.v5i1.14117
- https://ojs.aaai.org/index.php/ICWSM/article/download/14117/13966
- OA Status
- diamond
- Cited By
- 77
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W190660585
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W190660585Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1609/icwsm.v5i1.14117Digital Object Identifier
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Searching Twitter: Separating the Tweet from the ChaffWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-08-03Full publication date if available
- Authors
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Jonathan Hurlock, Max L. WilsonList of authors in order
- Landing page
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https://doi.org/10.1609/icwsm.v5i1.14117Publisher landing page
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https://ojs.aaai.org/index.php/ICWSM/article/download/14117/13966Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://ojs.aaai.org/index.php/ICWSM/article/download/14117/13966Direct OA link when available
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Computer science, Social media, Set (abstract data type), Information retrieval, Microblogging, World Wide Web, Data science, Programming languageTop concepts (fields/topics) attached by OpenAlex
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77Total citation count in OpenAlex
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2025: 1, 2021: 5, 2020: 6, 2019: 5, 2018: 12Per-year citation counts (last 5 years)
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30Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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