Abstract
It may not be hyperbole that the news media can create or destroy a celebrity in today’s world. Media bias can influence public opinion and perception towards topics that are critical to our society. When such issues or controversies are related to celebrities followed by millions of people, any distortion of facts to suit a particular agenda engenders a bitter debate on social media, making the society further polarized. Our study identifies media bias in the key Indian news outlets, based on the online articles published on their portals on major controversies in the entertainment domain, particularly Bollywood (Bollywood is the common name given to the Indian Hindi film industry, primarily based out of Mumbai, India). Further, we segment these media outlets based on the sentiments exhibited across these articles to identify ideological similarities between the prominent media houses. Our findings suggest that while a few media outlets don’t display a consistent bias, two distinct clusters of media outlets that have consistently opposing biases emerge. Our observation is essential for the users to understand and consume their news from media houses that display contrasting biases while reporting on Bollywood celebrities’ controversies. Our work helps in understanding that if users follow only the channels exhibiting similar bias; they are likely to unknowingly adopt the same prejudice, making them further polarized towards or against the celebrity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
References
Aizawa A (2003) An information-theoretic perspective of tf–idf measures. Inf Process Manag 39(1):45–65
Alberoni F (2007) The powerless ‘elite’: theory and sociological research on the phenomenon of the stars. In: Stardom and celebrity: a reader, pp 65–77
Arceneaux K, Johnson M, Cryderman J (2013) Communication, persuasion, and the conditioning value of selective exposure: like minds may unite and divide but they mostly tune out. Polit Commun 30(2):213–231
Archer A, Cawston A, Matheson B, Geuskens M (2020) Celebrity, democracy, and epistemic power. Persp Polit 18(1):27–42
Bailey AA (2007) Public information and consumer skepticism effects on celebrity endorsements: studies among young consumers. J Mark Commun 13(2):85–107
Ballantyne N (2019) Epistemic trespassing. Mind 128(510):367–395
Baron DP (2005) Persistent media bias. J Public Econ 90:1–36
Bhardwaj A, Qureshi I, Konrad AM, Lee SH (2016) A two-wave study of self-monitoring personality, social network churn, and in-degree centrality in close friendship and general socializing networks. Group Org Manag 41(4):526–559
Chiang C-F, Knight B (2011) Media bias and influence: evidence from newspaper endorsements. Rev Econ Stud 78(3):795–820
D’Alessio D, Allen M (2000) Media bias in presidential elections: a meta-analysis. J Commun 50:133–156
Das M, Singh P, Mazumdar A (2021) Investigating dynamics of polarization of Youtube true and fake news channels. In: Qureshi I, Bhatt B, Gupta S, Tiwari AA (eds) Causes and symptoms of socio-cultural polarization: role of information and communication technologies. Springer
De Vreese CH (2005) News framing: theory and typology. Inf Design J Doc Design 13(1)
Ding X, Liu B, Yu PS (2008) A holistic lexicon-based approach to opinion mining. In: Proceedings of the 2008 international conference on web search and data mining, pp 231–240
Ellman M, Germano F (2009) What do papers sell? A model of advertising and media bias. Econ J 119(537):680–704
Eveland Jr WP, Shah D (2003) The impact of individual and interpersonal factors on perceived news media bias. Polit Psychol 24(1)
Fard AE, Verma T (2021) A comprehensive review on countering rumours in the age of online social media platforms. In: Qureshi I, Bhatt B, Gupta S, Tiwari AA (eds) Causes and symptoms of socio-cultural polarization: role of information and communication technologies. Springer
Fong CPS, Wyer RS Jr (2012) Consumers’ reactions to a celebrity endorser scandal. Psychol Mark 29(11):885–896
Freed GL, Clark SJ, Butchart AT, Singer DC, Davis MM (2011) Sources and perceived credibility of vaccine-safety information for parents. Pediatr Suppl 1:107–112
Furedi F (2010) Celebrity culture. Society 47:493–497
Garthwaite C, Moore TJ (2012) Can celebrity endorsements affect political outcomes? Evidence from the 2008 US Democratic Presidential Primary. J Law Econ Organiz 29(2):355–384
Gentzkow M, Shapiro JM (2006) Media bias and reputation. J Polit Econ 114(2)
Groseclose T, Milyo J (2005) A measure of media bias. Q J Econ 120
Gupta S, Kumar P, Bhasker B (2016) A rough connectedness algorithm for mining communities in complex networks. In International Conference on Big Data Analytics and Knowledge Discovery. Springer, Cham, pp 34–48, September
Gupta S, Kumar S, Kumar P (2016) Evaluating the predictive power of an ensemble model for economic success of Indian movies. J Predict Markets 10(1)
Gupta S, Kumar P (2020) An overlapping community detection algorithm based on rough clustering of links. Data Knowl Eng 125:101777
Gupta S, Deodhar S (2021) Understanding digitally enabled complex networks: a plural granulation based hybrid community detection approach. Inf Technol People
Gupta S, Kumar P (2021) A constrained agglomerative clustering approach for unipartite and bipartite networks with application to credit networks. Inf Sci 557:332–354
Gupta S, Tiwari AA (2021) A design-based pedagogical framework for developing computational thinking skills. J Decis Syst:1–18
Hamborg F, Meuschke N, Aizawa A, Gipp B (2017) Identification and analysis of media bias in news articles. Humboldt-Universität zu Berlin
Hamborg F, Donnay K, Gipp B (2018) Automated identification of media bias in news articles: an interdisciplinary literature review. Int J Digit Libr 20:391–415
Hartigan JA, Wong MA (1979) AK-means clustering algorithm. J R Stat Soc: Ser C: Appl Stat 28(1):100–108
Jaikumar P (2003) Bollywood spectaculars. World Literature Today 77(3/4):24–29
Kader FA, Gundala U (2021) Impact of ICT on literary censorship: a study of selected controversial texts in contemporary India. In: Qureshi I, Bhatt B, Gupta S, Tiwari AA (eds) Causes and symptoms of socio-cultural polarization: role of information and communication technologies. Springer
Kahneman D, Tversky A (1984) Choices, values, and frames. Am Psychol 39(4):341–350
Keane J (1992) Democracy and the media—without foundations. Polit Stud 40(1_suppl):116–129
Koku PS (1995) On bizarreness in the entertainment industry. J Serv Mark 9(4):19–30
Koordeman R, Kuntsche E, Anschutz DJ, van Baaren RB, Engels RCME (2011) Do we act upon what we see? Direct effects of alcohol cues in movies on young adults’ alcohol drinking. Alcohol Alcohol 46(4):393–398
Kumar P, Gupta S, Bhasker B (2017) An upper approximation based community detection algorithm for complex networks. Decis Support Syst 96:103–118
Liu B (2012) Sentiment analysis and opinion mining. Synth Lectures Human Lang Technol 5(1):1–167
Lunardo R, Livat F, Gergaud O (2015) Celebrities as human brands: an investigation of the effects of personality and time on celebrities’ appeal. J Mark Manag 31(5–6):685–712
Marwick A, Lewis R (2017) Media manipulation and disinformation online. Data & Society Research Institute, New York
McCutcheon LE, Lange R, Houran J (2002) Conceptualization and measurement of celebrity worship. Br J Psychol 93:67–87
Meyer DS, Gamson J (1995) The challenge of cultural elites: celebrities and social movements. Sociol Inq 65(2):181–206
Milligan GW, Cooper MC (1988) A study of standardization of variables in cluster analysis. J Classif 5(2):181–204
Monaco J (1978) Celebrity: the media as image makers. Dell Publishers, New York
Mullainathan S, Shleifer A (2005) The market for news. Am Econ Rev 95(4):1031–1053
Newman N, Fletcher R, Levy D, Nielsen RK (2015) The Reuters Institute digital news report 2016. Reuters Institute for the Study of Journalism
Ogunsiji AS (2012) The impact of celebrity endorsement on strategic brand management. Int J Bus Soc Sci 3(6):141–145
Park S, Lee J, Ryu S, Hahn KS (2015) The network of celebrity politics: political implications of celebrity following on Twitter. Ann Am Acad Polit Social Sci 659(1):246–258
Pornpitakpan C (2008) The effect of celebrity endorsers’ perceived credibility on product purchase intention. J Int Consum Mark 16(2):55–74
Qayyum A, Gilani Z, Latif S, Qadir J (2018) Exploring media bias and toxicity in South Asian Political discourse. In: 2018 12th international conference on open source systems and technologies (ICOSST), pp 1–8, IEEE
Qureshi I, Fang Y, Haggerty N, Compeau DR, Zhang X (2018) IT-mediated social interactions and knowledge sharing: role of competence-based trust and background heterogeneity. Inf Syst J 28(5):929–955
Qureshi I, Bhatt B, Gupta S, Tiwari AA (2020) Call for papers: causes, symptoms and consequences of social media induced polarization (SMIP). Inf Syst J
Qureshi I, Bhatt B, Gupta S, Tiwari AA (2021) Introduction to the role of information and communication Technologies in Polarization. In: Qureshi I, Bhatt B, Gupta S, Tiwari AA (eds) Causes and symptoms of socio-cultural polarization: role of information and communication technologies. Springer
Rein IJ, Kotler P, Soller MR (1997) High visibility: the making and marketing of professionals into celebrities. NTC Publishing Group, Lincolnwood
Ribeiro FN, Henrique L, Benevenuto F, Chakraborty A, Kulshrestha J, Babaei M, Gummadi KP (2018). Media bias monitor: quantifying biases of social media news outlets at large-scale. In: Proceedings of the twelfth international AAAI conference on web and social media (ICWSM 2018)
Shoemaker PJ, Vos TP, Reese SD (2009) Journalists as gatekeepers. In: The handbook of journalism studies
Stassen W (2010) Your news in 140 characters: exploring the role of social media in journalism. Glob Media J Afr Ed 4(1)
Steinley D (2006) K-means clustering: a half-century synthesis. Br J Math Stat Psychol 59:1–34
Sunstein CR (2002) The law of group polarization. J Polit Philos 10(2):175–195
Vallone RP, Ross L, Lepper MR (1985) The hostile media phenomenon: biased perceptions and perception of media bias in coverage of the Beirut massacre. J Pers Soc Psychol 49:577–585
Vukov JM, Rempala K, Klug M, Hornewer M (2020) From epistemic trespassing to transdisciplinary cooperation: the role of expertise in the identification of usual care. Am J Bioeth 20(1):52–54
Webster F (2006) Theories of the information society. Taylor and Francis Group, Routledge
Williams A (1975) Unbiased study of television news bias. J Commun 25(4):190–199
Wojcieszak M, Garrett RK (2018) Social identity, selective exposure, and affective polarization: how priming national identity shapes attitudes toward immigrants via news selection. Hum Commun Res 44(3):247–273
Wood M, Corbett J, Flinders M (2016) Just like us: everyday celebrity politicians and the pursuit of popularity in an age of anti-politics. Br J Polit Int Rel 18(3)
Zaller J (1992) The nature and origins of mass opinion. Cambridge University Press, Cambridge
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Jain, G., Suman, S., Gupta, S., Tiwari, A.A. (2022). Media Bias and Bollywood: An Untold Story. In: Qureshi, I., Bhatt, B., Gupta, S., Tiwari, A.A. (eds) Causes and Symptoms of Socio-Cultural Polarization. Springer, Singapore. https://doi.org/10.1007/978-981-16-5268-4_9
Download citation
DOI: https://doi.org/10.1007/978-981-16-5268-4_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5267-7
Online ISBN: 978-981-16-5268-4
eBook Packages: Business and ManagementBusiness and Management (R0)