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The Development of Social Media Intelligence System for Citizen Opinion and Perception Analysis over Government Policy
Abstract
In Indonesia, community involvement in development planning and public policy has generally been carried out but limitedly. Social media uploads regarding public perceptions of policy implementation in the field are valuable input for those who quickly and accurately upload existing problems.
The problems that arise from this effort to use social media are 1) how to detect public conversations related to a public policy. 2) Social media data collected extensively and accelerating can be processed quickly to get real-time analysis results. 3) Making the analysis results accessible in an interactive and representative form allows government policymakers to explore appropriate data and information to formulate and formulate public policies.
This research produces a social media intelligence platform that can unite public opinion regarding public perceptions of the implementation of policies issued by the government, especially local governments in Indonesia. Based on modeling the topic of Covid-19 vaccination cases, 11 topics of discussion were obtained. While the sentiment analysis results of the 11 issues resulted, topic 6 had the most negative sentiment values regarding the development of Covid-19 vaccination in Indonesia. At the same time, topics with the most positive sentiment values are topic three and topic 10. These topics discuss the vaccination process carried out by health procedures (prokes) and government policies related to COVID-19 vaccination.Keywords
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A. Ramdhani, ; Muhammad, and A. Ramdhani, “Konsep Umum Pelaksanaan Kebijakan Publik,” Feb. 2017.
Y. Lee and H. L. Schachter, “Exploring the Relationship between Trust in Government and Citizen Participation,” Int. J. Public Adm., vol. 42, no. 5, pp. 405–416, Apr. 2019.
R. Fletcher and R. K. Nielsen, “Are people incidentally exposed to news on social media? A comparative analysis,” New Media Soc., vol. 20, no. 7, pp. 2450–2468, Jul. 2018.
J. A. Hall, “When is social media use social interaction? Defining mediated social interaction,” New Media Soc., vol. 20, no. 1, pp. 162–179, Jan. 2018.
A. Haro-de-Rosario, A. Sáez-Martín, and M. del Carmen Caba-Pérez, “Using social media to enhance citizen engagement with local government: Twitter or Facebook?,” New Media Soc., vol. 20, no. 1, pp. 29–49, Jan. 2018.
A. Androutsopoulou, Y. Charalabidis, and E. Loukis, “Policy Informatics in the Social Media Era: Analyzing Opinions for Policy Making,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11021 LNCS, pp. 129–142.
A. Lovari and C. Valentini, “Public Sector Communication and Social Media,” in The Handbook of Public Sector Communication, Wiley, 2020, pp. 315–328.
J. H. Kietzmann, K. Hermkens, I. P. McCarthy, and B. S. Silvestre, “Social media? Get serious! Understanding the functional building blocks of social media,” Bus. Horiz., vol. 54, no. 3, pp. 241–251, May 2011.
A. Perrin, “Social Media Usage: 2005-2015 | Pew Research Center,” Pew Research Center, 2015. [Online]. Available: https://www.pewresearch.org/internet/2015/10/08/social-networking-usage-2005-2015/. [Accessed: 19-Apr-2021].
N. Newman, R. Fletcher, D. Levy, and R. K. Nielsen, Reuters Institute Digital News Report 2016. Reuters Institute for the Study of Journalism, 2016.
M. Anderson and J. Jiang, “Teens, Social Media & Technology 2018 | Pew Research Center,” Pew Research Center, 2018. [Online]. Available: https://www.pewresearch.org/internet/2018/05/31/teens-social-media-technology-2018/. [Accessed: 19-Apr-2021].
S. Siddiqui and T. Singh, “Social Media its Impact with Positive and Negative Aspects,” Int. J. Comput. Appl. Technol. Res., vol. 5, no. 2, pp. 71–75, 2016.
N. S. Hawi and M. Samaha, “The Relations Among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students,” Soc. Sci. Comput. Rev., vol. 35, no. 5, pp. 576–586, Oct. 2017.
J.-Y. Jung, “Social Media, Global Communications, and the Arab Spring: Cross-Level and Cross-Media Story Flows,” in Mediated Identities and New Journalism in the Arab World, Palgrave Macmillan UK, 2016, pp. 21–40.
S. C. McGregor, “Social media as public opinion: How journalists use social media to represent public opinion:,” https://doi.org/10.1177/1464884919845458, vol. 20, no. 8, pp. 1070–1086, May 2019.
J. C. Bertot, P. T. Jaeger, and J. M. Grimes, “Promoting transparency and accountability through ICTs, social media, and collaborative e-government,” Transform. Gov. People, Process Policy, vol. 6, no. 1, pp. 78–91, Mar. 2012.
R. Díaz-Díaz and D. Pérez-González, “Implementation of Social Media Concepts for e-Government: Case Study of a Social Media Tool for Value Co-Creation and Citizen Participation,” J. Organ. End User Comput., vol. 28, no. 3, 2016.
E. Falco and R. Kleinhans, “Beyond technology: Identifying local government challenges for using digital platforms for citizen engagement,” Int. J. Inf. Manage., vol. 40, pp. 17–20, Jun. 2018.
M. M. Skoric, Q. Zhu, D. Goh, and N. Pang, “Social media and citizen engagement: A meta-analytic review,” New Media Soc., vol. 18, no. 9, pp. 1817–1839, Oct. 2016.
M. del M. Gálvez-Rodríhuez, A. Haro-de-Rosario, and M. del C. Caba-Pérez, “A Comparative View of Citizen Engagement in Social Media of Local Governments from North American Countries,” in Handbook of Research on Citizen Engagement and Public Participation in the Era of New Media, 2017, p. 18.
D. LETCHER, “ONLINE POLITICAL PARTICIPATION, COLLECTIVE ACTION EVENTS, AND MEANINGFUL CITIZEN ENGAGEMENT: SOCIAL MEDIA USE DURING MASS PROTESTS,” Geopolit. Hist. Int. Relations , vol. 10, no. 2, pp. 70–75, 2018.
İ. Hatipoğlu, M. Z. Sobaci, and M. F. Korkmaz, “Determinants of the Citizen Engagement Level of Mayors on Twitter: The Case of Turkey,” in Digital Government and Achieving E-Public Participation: Emerging Research and Opportunities, 2020, p. 16.
P. J. Brubaker and C. Wilson, “Let’s give them something to talk about: Global brands’ use of visual content to drive engagement and build relationships,” Public Relat. Rev., vol. 44, no. 3, pp. 342–352, Sep. 2018.
C. Kim and S. U. Yang, “Like, comment, and share on Facebook: How each behavior differs from the other,” Public Relat. Rev., vol. 43, no. 2, pp. 441–449, Jun. 2017.
M. Habibi and P. W. Cahyo, “A social network analysis: identifying influencers in the COVID-19 vaccination discussion on twitter,” Compiler, vol. 10, no. 2, pp. 99–108, Nov. 2021.
S. Bhattacharya, P. Srinivasan, and P. Polgreen, “Social media engagement analysis of U.S. Federal health agencies on Facebook,” BMC Med. Inform. Decis. Mak., vol. 17, no. 1, Apr. 2017.
H. Hendriks, B. van den Putte, W. A. Gebhardt, and M. A. Moreno, “Social drinking on social media: Content analysis of the social aspects of alcohol-related posts on facebook and instagram,” J. Med. Internet Res., vol. 20, no. 6, p. e9355, Jun. 2018.
R. B. Hubert, E. Estevez, A. Maguitman, and T. Janowski, “Examining government-citizen interactions on twitter using visual and sentiment analysis,” ACM Int. Conf. Proceeding Ser., May 2018.
R. Sandoval-Almazan and D. Valle-Cruz, “Facebook impact and sentiment analysis on political campaigns,” in ACM International Conference Proceeding Series, 2018, pp. 1–7.
S. Park, D. Chung, and H. W. Park, “Analytical framework for evaluating digital diplomacy using network analysis and topic modeling: Comparing South Korea and Japan,” Inf. Process. Manag., vol. 56, no. 4, pp. 1468–1483, Jul. 2019.
J. J. Schoenefeld and A. J. Jordan, “Towards harder soft governance? Monitoring climate policy in the EU,” https://doi.org/10.1080/1523908X.2020.1792861, pp. 774–786, 2020.
A. H. Juma’h A and Y. Alnsour, “Using social media analytics: The effect of President Trump’s tweets on companies’ performance,” Account. Manag. Inf. Syst., vol. 17, no. 1, pp. 100–121, 2018.
P. Singh, Y. K. Dwivedi, K. S. Kahlon, R. S. Sawhney, A. A. Alalwan, and N. P. Rana, “Smart Monitoring and Controlling of Government Policies Using Social Media and Cloud Computing,” Inf. Syst. Front., vol. 22, no. 2, pp. 315–337, Apr. 2020.
M. S. Islam et al., “COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis,” Am. J. Trop. Med. Hyg., vol. 103, no. 4, pp. 1621–1629, Oct. 2020.
E. Chen, K. Lerman, and E. Ferrara, “Tracking social media discourse about the COVID-19 pandemic: Development of a public coronavirus Twitter data set,” JMIR Public Heal. Surveill., vol. 6, no. 2, Apr. 2020.
A. Bradley and R. J. E. James, “Web Scraping Using R:,” https://doi.org/10.1177/2515245919859535, vol. 2, no. 3, pp. 264–270, Jul. 2019.
S. Rastogi, D. Bansal -Farhan, W. Kurniawan, W. Maharani, A. F. Hidayatullah, and M. R. Ma’arif, “Pre-processing Tasks in Indonesian Twitter Messages,” J. Phys. Conf. Ser., vol. 801, no. 1, p. 012072, Jan. 2017.
H. Jelodar et al., “Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey,” Multimed. Tools Appl., vol. 78, no. 11, pp. 15169–15211, Jun. 2019.
H. Latipa Sari et al., “Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster,” IOP Conf. Ser. Mater. Sci. Eng., vol. 336, no. 1, p. 012017, Apr. 2018.
K. Chen, Z. Zhang, J. Long, and H. Zhang, “Turning from TF-IDF to TF-IGM for term weighting in text classification,” Expert Syst. Appl., vol. 66, pp. 245–260, Dec. 2016.
R. Ferdiana, F. Jatmiko, D. D. Purwanti, A. S. T. Ayu, and W. F. Dicka, “Dataset Indonesia untuk Analisis Sentimen,” J. Nas. Tek. Elektro dan Teknol. Inf., vol. 8, no. 4, pp. 334–339, Nov. 2019.
S. Fatima and B. Srinivasu, “Text Document categorization using support vector machine,” Int. Res. J. Eng. Technol. , vol. 4, no. 2, 2017.
K. Stevens, P. Kegelmeyer, D. Andrzejewski, and D. Buttler, “Exploring topic coherence over many models and many topics,” in Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP), 2012, no. July, pp. 952–961.
M. Habibi, A. Priadana, and M. R. Ma’arif, “Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter,” IJID (International J. Informatics Dev., vol. 10, no. 1, pp. 23–30, Jun. 2021.
DOI: https://doi.org/10.31315/telematika.v19i1.6447
DOI (PDF): https://doi.org/10.31315/telematika.v19i1.6447.g4418
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