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Intent Mining for the Good, Bad, and Ugly Use of Social Web: Concepts, Methods, and Challenges

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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

The social web has empowered us to easily share information, express opinions, and engage in discussions on events around the world. While users of social media platforms often offer help and emotional support to others (the good), they also spam (the bad) and harass others as well as even manipulate others via fake news (the ugly). In order to both leverage the positive effects and mitigate the negative effects of using social media, intent mining provides a computational approach to proactively analyze social media data. This chapter introduces an intent taxonomy of social media usage with examples and describes methods and future challenges to mine the intentional uses of social media.

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Notes

  1. 1.

    http://www.pewinternet.org/fact-sheet/social-media/.

  2. 2.

    https://journalistsresource.org/studies/society/internet/fake-news-conspiracy-theories-journalism-research.

  3. 3.

    https://www.technologyreview.com/s/610152/social-networks-are-broken-this-man-wants-to-fix-them.

  4. 4.

    https://datasociety.net/output/dead-reckoning/.

  5. 5.

    http://www.bbc.com/news/technology-35890188.

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Acknowledgements

The authors thank Professor Amit Sheth at Kno.e.sis Center, Wright State University for valuable feedback and US National Science Foundation (NSF) for partially supporting this research on intent mining through grant award IIS-1657379. Opinions in this chapter are those of the authors and do not necessarily represent the official position or policies of the NSF.

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Authors and Affiliations

  1. Department of Information Sciences and Technology, George Mason University, Fairfax, VA, USA

    Hemant Purohit & Rahul Pandey

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  1. Hemant Purohit
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Correspondence to Hemant Purohit .

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Editors and Affiliations

  1. Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) Information Science Department, University of Arkansas at Little Rock, Little Rock, AR, USA

    Nitin Agarwal

  2. Intellectera AB, Stockholm, Sweden

    Nima Dokoohaki

  3. Collaboratorium for Social Media and Online Behavioral Studies (COSMOS), University of Arkansas at Little Rock, Little Rock, AR, USA

    Serpil Tokdemir

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Purohit, H., Pandey, R. (2019). Intent Mining for the Good, Bad, and Ugly Use of Social Web: Concepts, Methods, and Challenges. In: Agarwal, N., Dokoohaki, N., Tokdemir, S. (eds) Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-94105-9_1

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