Fake News and Understanding of Pakistani Millennial

Authors

  • Wajid Zulqarnain Media Sciences Department, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan
  • Amna Zareef Media Sciences Department, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan
  • Naveed Ullah Hashmi Media Sciences Department, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan

DOI:

https://doi.org/10.31907/2617-121X.2018.02.01.4

Keywords:

Social Media, Fake News, Pakistan, Millennial.

Abstract

The mushroomed growth and usage of social media have benefitted the world in many ways on the other hand it has also given rise to many issues. Fake news and its extensive spread is one of the problem, world is tackling at this time. Fake news is a kind of deception that purposely integrates to affect masses and create panic, which is fabricated too have aim to instill a false sense of truth in the users mind. This paper provides a conceptual overview of fake news on social media, expanding and illustrating the unique characteristics of fake news in Pakistan. A survey is conducted from university Millennial from the capital city of Islamabad. Results showed that use of social media is increasing day by day amongst young generation of Pakistan and becoming main source of information for them. In this scenario the rate at which such false news are penetrating social media and the internet is distressing, as most of the students claim to often witness fake news on social media. Social media personalities, celebrities and political representatives should make efforts in creating awareness regard fake news, so that our nation stay safe from the hazardous effects and panic created from social media.

References

Shah A. Avoid Posting 'fake' Items on Social Media. The New Indian Express. June 2018. Accessed July 2018. http://www.newindianexpress.com/nation/2018/jun/21/avoidposting-fake-items-on-social-media-amit-shah-tells-bjpsworkers-1831635.html

Bogle A. Guess which gender is more likely to be verified on Twitter? We’ll wait. Mashable (2016, November 15). Retrieved November 13, 2017, from http://mashable.com/ 2016/11/15/twitter-verification-women-men/

Bogle A. Guess which gender is more likely to be verified on Twitter? We’ll wait. Mashable (2016, November 15). Retrieved November 13, 2017, from http://mashable.com/ 2016/11/15/twitter-verification-women-men/

Westerman D, Patric RS, Van Der Heide B. Social media as information source: Recency of updates and credibility of information. Journal of Computer-Mediated Communication 2014; 19(2): 171-183. https://doi.org/10.1111/jcc4.12041

Perrin A. Social media usage. Pew Research Center. Policy 2015; 14(1): 52-68.

Hughes DJ, Moss R, Mark B, Andrew L. A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior 2012; 28(2): 561-569. https://doi.org/10.1016/j.chb.2011.11.001

Lee CS, Long M. News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior 2012; 28(2): 331-339. https://doi.org/10.1016/j.chb.2011.10.002

Gupta A, Hemank L, Ponnurangam K, Anupam J. Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy. In Proceedings of the 22nd international conference on World Wide Web, ACM, 2013; pp. 729-736. https://doi.org/10.1145/2487788.2488033

Statista, 2018. "https://www.statista.com/topics/3251/fakenews/." Accessed May 20, 2018. https://www.statista.com/ topics/3251/fake-news/

Bogle A. Guess which gender is more likely to be verified on Twitter? We’ll wait. Mashable (2016, November 15). Retrieved November 13, 2017, from http://mashable.com/ 2016/11/15/twitter-verification-women-men/

Gottfried J, Shearer E. News use across social media platforms 2016. White paper, Pew Research Center, May 2016.

Shao C, Giovanni LC, Onur V, Alessandro F, Filippo M. The spread of fake news by social bots. arXiv preprint 2017; arXiv: 1707.07592.

Varol O, Emilio F, Clayton AD, Filippo M, Alessandro F. Online human-bot interactions: Detection, estimation, and characterization. arXiv preprint 2017; arXiv: 1703.03107.

Jagatic TN, Nathaniel AJ, Markus J, Filippo M. Social phishing. Communications of the ACM 2007; 50(10): 94-100. https://doi.org/10.1145/1290958.1290968

Vrij A, Samantha M, Sharon L. Deception traits in psychological interviewing. Journal of Police and Criminal Psychology 2013; 28(2): 115-126. https://doi.org/10.1007/s11896-013-9125-y

Pennycook G, James AC, Nathaniel B, Derek JK, Jonathan AF. On the reception and detection of pseudo-profound bullshit. Judgment and Decision making 2015.

Del Vicario M, Alessandro B, Fabiana Z, Fabio P, Antonio S, Guido C, Eugene SH, Walter Q. The spreading of misinformation online. Proceedings of the National Academy of Sciences 2016; 113(3): 554-559. https://doi.org/10.1073/pnas.1517441113

Heinonen K. Consumer activity in social media: Managerial approaches to consumers' social media behavior. Journal of Consumer Behaviour 2011; 10(6): 356-364. https://doi.org/10.1002/cb.376

De Valck K, Gerrit HVB, Berend W. Virtual communities: A marketing perspective. Decision Support Systems 2009; 47(3): 185-203. https://doi.org/10.1016/j.dss.2009.02.008

Ratkiewicz J, Conover M, Meiss MR, Gonçalves B, Flammini A, Menczer F. Detecting and tracking political abuse in social media. ICWSM 2011; 11: 297-304.

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Published

2018-11-20

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