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Clickbait Detection Using Swarm Intelligence

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 968))

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Abstract

Clickbaits are the articles containing catchy headlines which lure the reader to explore full content, but do not have any useful information. Detecting clickbaits solely by the headline without opening the link, can serve as a utility for users over internet. This can prevent their time from useless surfing caused by exploring clickbaits. In this paper Ant Colony Optimization, a Swarm Intelligence (SI) based technique has been used to detect clickbaits. In comparison with algorithms used in the past, this SI based technique provided a better accuracy and a human interpretable set of rules to classify clickbaits. A maximum accuracy of 96.93% with a set of 20 classification rules was obtained using the algorithm.

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Authors and Affiliations

  1. Netaji Subhas Institute of Technology, Delhi, India

    Deepanshu Pandey, Garimendra Verma & Sushama Nagpal

Authors
  1. Deepanshu Pandey
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  2. Garimendra Verma
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  3. Sushama Nagpal
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Corresponding author

Correspondence to Garimendra Verma .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  2. Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

  3. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Sri Krishnan

  4. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. University of Naples Federico II, Naples, Italy

    Domenico Ciuonzo

  6. Electrical Engineering Department, Indian Institute of Technology Patna, Patna, India

    Maheshkumar H. Kolekar

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Pandey, D., Verma, G., Nagpal, S. (2019). Clickbait Detection Using Swarm Intelligence. In: Thampi, S., Marques, O., Krishnan, S., Li, KC., Ciuonzo, D., Kolekar, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2018. Communications in Computer and Information Science, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-13-5758-9_6

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  • DOI: https://doi.org/10.1007/978-981-13-5758-9_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5757-2

  • Online ISBN: 978-981-13-5758-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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