The Erosion of Voters’ Trust: How eWOM Shapes perceptions of Mainstream Political Parties in Pakistan?
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Abstract
In this technological age, Electronic word of mouth (eWOM) plays crucial role in making public Voter perception. This study examines the effect of eWOM on voter perception of mainstream political parties in Pakistan. This study majorly focuses on the extent that at what level eWOM influneces voter’s attitudes and belief toward these political parties. This study uses arbitration theory to explore how eWOM turns as a casual clash tool, affecting voter trust and perceptions of mainstream political parties in Pakistan. Arbitration theory uses in this study to explore that how eWOM turns as a casual clash tool, effecting voter perceptions of mainstream political parties in Pakistan. Research methodology used in this research is quantitative, data collected from 800 respondents from University of the Punjab, University of Karachi, University of Baluchistan, University of Peshawar, and Quaid-e-Azam University. Data collected through questionnaire is analyzed to identify the patterns and correlations between eWOM exposure and voter perception, with major focus on how eWOM assists as intervening factor the mediation of contradictory political parties. The findings reveal that eWOM plays highly significant role in making perceptions of voter in decision making. This research study highlights that wider exposure to eWOM significantly impacts voter perception. The research also discloses that eWOM considerably forms voters' perceptions, affecting their attitudes and voting behaviors. eWOM influences political parties' deliberate decisions, guiding them to accept platforms and policies that reflect public emotion.
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References
- Anstead, N., & O'Loughlin, B. (2015). Social media analysis and public opinion: The 2010 UK general election. Journal of computer-mediated communication, 20(2), 204-220. DOI: https://doi.org/10.1111/jcc4.12102
- Akram, H., Yingxiu, Y., Al-Adwan, A. S., & Alkhalifah, A. (2021). Technology Integration in Higher Education During COVID-19: An Assessment of Online Teaching Competencies Through Technological Pedagogical Content Knowledge Model. Frontiers in Psychology, 12, 736522-736522. https://doi.org/10.3389/fpsyg.2021.736522 DOI: https://doi.org/10.3389/fpsyg.2021.736522
- Akram, H., Abdelrady, A. H., Al-Adwan, A. S., & Ramzan, M. (2022). Teachers’ perceptions of technology integration in teaching-learning practices: A systematic review. Frontiers in psychology, 13, 920317. DOI: https://doi.org/10.3389/fpsyg.2022.920317
- Betz, H.-G. (1994). The losers of globalization or modernization thesis. Comparative Political Studies, 27(3), 263-288. https://doi.org/10.1177/0010414094027003001 DOI: https://doi.org/10.1177/0010414094027003001
- Bhadauria, A. S., Shukla, M., Kumar, P., & Dwivedi, N. (2024, February). Forecasting Election Sentiments: Deep Learning vs. Traditional Models. In 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-6). IEEE. DOI: https://doi.org/10.1109/SCEECS61402.2024.10482071
- Boler, M., & Davis, E. (2020). Affective politics of digital media (Vol. 155, No. 10). New York: Routledge. DOI: https://doi.org/10.4324/9781003052272
- Bushong, B., & Gagnon-Bartsch, T. (2023). Reference dependence and attribution bias: evidence from real-effort experiments. American Economic Journal: Microeconomics, 15(2), 271-308. DOI: https://doi.org/10.1257/mic.20210031
- Cheng, J. P., Mendoza-Topaz, C., Howard, G., Chadwick, J., Shvets, E., Cowburn, A. S., ... & Nichols, B. J. (2015). Caveolae protect endothelial cells from membrane rupture during increased cardiac output. The Journal of cell biology, 211(1), 53-61. DOI: https://doi.org/10.1083/jcb.201504042
- De Cleen, B., & Stavrakakis, Y. (2017). Hierarchical system that confers authority from bottom to top. Political Studies, 65(3), 624-640. https://doi.org/10.1177/0032321716647116
- Dyrberg, T. B. (2003). Hierarchical system that confers authority from bottom to top. Security Dialogue, 34(2), 157-174. https://doi.org/10.1177/0967010603034002004 DOI: https://doi.org/10.1177/0967010603034002004
- Enli, G. S., & Skogerbø, E. (2013). Personalized campaigns in party-centred politics: Twitter and Facebook as arenas for political communication. Information, communication & society, 16(5), 757-774. DOI: https://doi.org/10.1080/1369118X.2013.782330
- Hassan, T. A., Hollander, S., Van Lent, L., & Tahoun, A. (2019). Firm-level political risk: Measurement and effects. The Quarterly Journal of Economics, 134(4), 2135-2202. DOI: https://doi.org/10.1093/qje/qjz021
- Howard, P. N., & Parks, M. R. (2012). Social media and political change: Capacity, constraint, and consequence. Journal of communication, 62(2), 359-362. DOI: https://doi.org/10.1111/j.1460-2466.2012.01626.x
- Iyer, P., Yazdanparast, A., & Strutton, D. (2017). Examining the effectiveness of WOM/eWOM communications across age-based cohorts: implications for political marketers. Journal of Consumer Marketing, 34(7), 646-663. DOI: https://doi.org/10.1108/JCM-11-2015-1605
- J., Aalberg, Van Aelst, P., Strömbäck, T., Esser, F., De Vreese, C., Matthes, J., ... & Stanyer, J. (2017). Political communication in a high-choice media environment: a challenge for democracy?. Annals of the International Communication Association, 41(1), 3-27. DOI: https://doi.org/10.1080/23808985.2017.1288551
- Jagers, J., & Walgrave, S. (2007). Populism as political communication style: An empirical study of political parties' discourse in Belgium. European journal of political research, 46(3), 319-345. DOI: https://doi.org/10.1111/j.1475-6765.2006.00690.x
- Kausar, S. W. A., Gul, A., & Hafeez, S. (2023). Exploring intra-party democracy and political finance in Pakistan: The case of effectiveness of mainstream political parties. Asian Journal of Comparative Politics, 8(2), 529-546. DOI: https://doi.org/10.1177/20578911221149422
- Kazi, T. (2021). Religious television and pious authority in Pakistan. Indiana University Press. DOI: https://doi.org/10.2307/j.ctv1c3pdxq
- Kim, J., & Lee, K. H. (2019). Influence of integration on interactivity in social media luxury brand communities. Journal of Business Research, 99(1), 422-429. DOI: https://doi.org/10.1016/j.jbusres.2017.10.001
- Kriesi, H., et al. (2008). The losers of globalization or modernization thesis. Comparative Political Studies, 41(4-5), 513-536. https://doi.org/10.1177/0010414007311065
- Larsson, A. O. (2016). Online, all the time? A quantitative assessment of the permanent campaign on Facebook. New media & society, 18(2), 274-292. DOI: https://doi.org/10.1177/1461444814538798
- Lee, K. Y., & Choi, H. (2019). Predictors of electronic word-of-mouth behavior on social networking sites in the United States and Korea: Cultural and social relationship variables. Computers in Human Behavior, 94 (2), 9-18. DOI: https://doi.org/10.1016/j.chb.2018.12.025
- Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM) How eWOM platforms influence consumer product judgement. International journal of advertising, 28(3), 473-499. DOI: https://doi.org/10.2501/S0265048709200709
- Le-Hoang, P. V. (2020). The effects of Electronic Word of Mouth (eWOM) on the adoption of consumer eWOM information. Independent Journal of Management & Production, 11(6), 1760-1777. DOI: https://doi.org/10.14807/ijmp.v11i6.1152
- Li, C., & Bernoff, J. (2019). Harnessing the power of eWOM: A strategic approach to promoting political brands in the digital age. Journal of Political Marketing, 18(3), 272-289.
- Li, L., Wang, H., Wang, Y., Chen, M., & Wei, T. (2022). Improving IoT data availability via feedback-and voting-based anomaly imputation. Future generation computer systems, 135 (2), 194-204. DOI: https://doi.org/10.1016/j.future.2022.04.027
- Liu, J. (2017). Does Being an Expert Make You More Negative? An Investigation of Subjective Expertise and Electronic Word-of-Mouth Communication (Doctoral dissertation, University of Miami).
- Malle, B. F., & Korman, J. (2013). Attribution theory. Oxford University Press. DOI: https://doi.org/10.1093/obo/9780199828340-0096
- Ma, D., Akram, H., & Chen, I. H. (2024). Artificial Intelligence in Higher Education: A Cross-Cultural Examination of Students’ Behavioral Intentions and Attitudes. The International Review of Research in Open and Distributed Learning, 25(3), 134-157. DOI: https://doi.org/10.19173/irrodl.v25i3.7703
- Marland, A., & DeCillia, B. (2020). Reputation and brand management by political parties: Party vetting of election candidates in Canada. Journal of Nonprofit & Public Sector Marketing, 32(4), 342-363. DOI: https://doi.org/10.1080/10495142.2020.1798857
- Milewicz, K., & Milewicz, K. (2014). Manifests. Political Psychology, 35(5), 647-665. https://doi.org/10.1111/pops.12139
- Mir, A., Mitts, T., & Staniland, P. (2023). Political coalitions and social media: evidence from Pakistan. Perspectives on Politics, 21(4), 1337-1356. DOI: https://doi.org/10.1017/S1537592722001931
- Mouffe, C. (2013). Agonistics: Thinking the world politically. Verso Books, P.236.
- Mudde, C., & Kaltwasser, C. R. (2015). Vox populi or vox masculini? Populism and gender in Northern Europe and South America. Patterns of Prejudice, 49(1-2), 16-36. DOI: https://doi.org/10.1080/0031322X.2015.1014197
- Mudde, C., & Kaltwasser, C. R. (2017). Society split into two groups: the masses and the governing class. European Journal of Political Research, 56(3), 419-436. https://doi.org/10.1111/1475-6765.12167 DOI: https://doi.org/10.1111/1475-6765.12167
- Murtaza, K., & Azhar, M. M. (2020). Agitational politics impacts on national Institutions: A case study of khan’s agitation 2014. Journal of Law & Social Studies (JLSS), 2(1), 22-25. DOI: https://doi.org/10.52279/jlss.02.01.2025
- Ostiguy, P. (2009). Hierarchical system that confers authority from bottom to top. Theory and Society, 38(3), 245-272. https://doi.org/10.1007/s11186-009-9104-5
- Panizza, U., & Presbitero, A. F. (2014). Public debt and economic growth: is there a causal effect?. Journal of Macroeconomics, 41 (1), 21-41. DOI: https://doi.org/10.1016/j.jmacro.2014.03.009
- Chen, Z., & Ramzan, M. (2024). Analyzing the role of Facebook-based e-portfolio on motivation and performance in English as a second language learning. International Journal of English Language and Literature Studies, 13(2), 123-138. DOI: https://doi.org/10.55493/5019.v13i2.5002
- Ramzan, M., Javaid, Z. K., & Fatima, M. (2023). Empowering ESL Students: Harnessing the Potential of Social Media to Enhance Academic Motivation in Higher Education. Global Digital & Print Media Review, VI, 224-237. DOI: https://doi.org/10.31703/gdpmr.2023(VI-II).15
- Ramzan, M., Bibi, R., & Khunsa, N. (2023). Unraveling the Link between Social Media Usage and Academic Achievement among ESL Learners: A Quantitative Analysis. Global. Educational Studies Review, VIII, 407-421. DOI: https://doi.org/10.31703/gesr.2023(VIII-II).37
- Rutter, R., Roper, S., & Lettice, F. (2016). Social media interaction, the university brand and recruitment performance. Journal of Business Research, 69(8), 3096-3104. DOI: https://doi.org/10.1016/j.jbusres.2016.01.025
- Scammell, M. (2015). Politics and image: the conceptual value of branding. Journal of political marketing, 14(1-2), 7-18.
- Scammell, M. (2015). Politics and image: the conceptual value of branding. Journal of political marketing, 14(1-2), 7-18. DOI: https://doi.org/10.1080/15377857.2014.990829
- Schneider, H., & Ferié, F. (2015). How to manage a party brand: empirical perspectives on electoral probability and internal conflict. Journal of Political Marketing, 14(1-2), 64-95.
- Schneider, H., & Ferié, F. (2015). How to manage a party brand: empirical perspectives on electoral probability and internal conflict. Journal of Political Marketing, 14(1-2), 64-95. DOI: https://doi.org/10.1080/15377857.2014.990832
- Shakil, K., & Yilmaz, I. (2021). Religion and populism in the Global South: Islamist civilisationism of Pakistan’s Imran Khan. Religions, 12(9), 77-92. DOI: https://doi.org/10.3390/rel12090777
- Smith, A. (2018). The Impact of Social Media on Political Brand Image: Evidence from the 2016 US Presidential Election. Journal of Information Technology & Politics, 15(2), 97-112.
- Tormey, S. (2018). Populism: democracy's Pharmakon?. Policy studies, 39(3), 260-273. DOI: https://doi.org/10.1080/01442872.2018.1475638
- Trope, Y. (1986). Identification and inferential processes in dispositional attribution. Psychological review, 93(3), 239-254. DOI: https://doi.org/10.1037//0033-295X.93.3.239
- Walter, A. S., & De Vries, C. E. (2009). When the Gloves Come Off: Inter-Party Variation in Negative Campaigning. Available at SSRN 1458326. DOI: https://doi.org/10.2139/ssrn.1458326
- Wang, Y., & Yu, C. (2017). Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning. International Journal of Information Management, 37(3), 179-189. DOI: https://doi.org/10.1016/j.ijinfomgt.2015.11.005
- Wang, Y., Liu, H., & Zhang, H. (2019). Understanding the Influence of User-Generated Content on Political Brand Image in Social Media. International Journal of Information Management, 49, 13-25.
- Wojczewski, T. (2019). Politics of insecurity and fear-mongering. International Political Science Review, 40(1), 95-110. https://doi.org/10.1177/0192512118794607
- Wolkenstein, K. (2015). Persistent and widespread occurrence of bioactive quinone pigments during post-Paleozoic crinoid diversification. Proceedings of the National Academy of Sciences, 112(9), 2794-2799. DOI: https://doi.org/10.1073/pnas.1417262112
- Zhang, J., & Daugherty, T. (2009). Third‐person effect and social networking: Implications for online marketing and word‐of‐mouth communication. American Journal of Business, 24(2), 53-64. DOI: https://doi.org/10.1108/19355181200900011