Do policymakers use social media for policy design? A Twitter analytics approach

  • Ashish Kumar Rathore Great Lakes Institute of Management, Chennai
  • Dayashankar Maurya International University of Japan
  • Amit Kumar Srivastava T A Pai Management Institute
Keywords: Social Media, Twitter Analytics, Public Policy, Policy Co-Design, Policy Responsiveness


Social media has been used widely for communicating information, awareness, and promote public policies by government agencies. However, limited attention has been paid to the use of social media in improving the design of public policies. This paper explores to what extent citizens' responses/opinions expressed on social media platforms contribute to policy design.  The paper analyzes discussion about the 'Ayushman Bharat' scheme on Twitter through social media analytics techniques (e.g., content analytics) and then traces the change in policy design over two years.  To validate findings from Twitter data, and assess the evolution in policy design, we conducted in-depth interviews with experts and extensive document analysis. The paper reveals that consistently similar issues were raised by the experts in the past as well as by the citizens in the current scheme. However, over the period, the policy design has not changed significantly. Therefore, despite a strong social media presence, its optimum use to improve policy effectiveness is yet to be achieved. The paper contributes by exploring the role social media can play in the public policy process and policy design in developing countries' contexts and identifies gaps in existing social media strategies of public agencies.


Agarwal, S., & Sureka, A. (2017, December). Investigating the role of Twitter in E-governance by extracting information on citizen complaints and grievances reports. In International Conference on Big Data Analytics (pp. 300-310). Springer, Cham.

Aggarwal, C. C., & Subbian, K. (2012, April). Event Detection in Social Streams. In SDM (Vol. 12, pp. 624-635).

Ahmed, S., Cho, J., & Jaidka, K. (2017). Leveling the playing field: The use of Twitter by politicians during the 2014 Indian general election campaign. Telematics and Informatics, 34(7), 1377-1386.

Ahmed, W., & Lugovic, S. (2019). Social media analytics: analysis and visualisation of news diffusion using NodeXL. Online Information Review. 43 (1), 149-160.

Akrout, H., & Diallo, M. F. (2017). Fundamental transformations of trust and its drivers: A multi-stage approach of business-to-business relationships. Industrial Marketing Management, 66, 159-171.

Aleti, T., Harrigan, P., Cheong, M., & Turner, W. (2016). An investigation of how the Australian brewing industry influence consumers on Twitter. Australasian Journal of Information Systems, 20.

Alizadeh, T., Sarkar, S., & Burgoyne, S. (2019). Capturing citizen voice online: Enabling smart participatory local government. Cities, 95, 102400. 2019.102400

Androutsopoulou, A., & Charalabidis, Y. (2018, April). A framework for evidence based policy making combining big data, dynamic modelling and machine intelligence. In Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance (pp. 575-583).

Aquilino, W. S., & Wright, D. L. (1996). Substance use estimates from RDD and area probability samples: Impact of differential screening methods and unit nonresponse. Public Opinion Quarterly, 60(4), 563-573.

Arnold, R. D. (1990). The logic of congressional action. Yale University Press.

Asher, M., Vora, Y., & Maurya, D. (2015). An analysis of selected pension and health care initiatives for informal sector workers in India. Social Policy & Administration, 49(6), 738-751.

Aswani, R., Kar, A. K., & Ilavarasan, P. V. (2018a). Detection of spammers in twitter marketing: a hybrid approach using social media analytics and bio inspired computing. Information Systems Frontiers, 20(3), 515-530.

Aswani, R., Kar, A. K., Ilavarasan, P. V., & Dwivedi, Y. K. (2018b). Search engine marketing is not all gold: Insights from Twitter and SEOClerks. International Journal of Information Management, 38(1), 107-116.

Bali, A. S., & Ramesh, M. (2015). Mark time: India's march to universal health care coverage. Social Policy & Administration, 49(6), 718-737.

Barbosa, L., & Feng, J. (2010, August). Robust sentiment detection on twitter from biased and noisy data. In Coling 2010: Posters (pp. 36-44).

Bayly, S. (2001). Caste, society and politics in India from the eighteenth century to the modern age (Vol. 3). Cambridge University Press.

BBC News, (2018). India unveils ‘world’s largest’ public healthcare scheme. Available on 22 June 2019, Retrieved from

Becker, G. S. (1983). A theory of competition among pressure groups for political influence. The quarterly journal of economics, 98(3), 371-400.

Beer, D., & Burrows, R. (2007). Sociology and, of and in Web 2.0: Some initial considerations. Sociological research online, 12(5), 67-79.

Bekkers, V., Edwards, A., & de Kool, D. (2013). Social media monitoring: Responsive governance in the shadow of surveillance?. Government Information Quarterly, 30(4), 335-342.

Berry, J. M., & Wilcox, C. (2018). The interest group society. Routledge.

Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010). Using ICTs to create a culture of transparency: E-government and social media as openness and anti-corruption tools for societies. Government information quarterly, 27(3), 264-271.

Bhuyan, A. (2019). In India, a tight election—with healthcare trailing the field. BMJ: British Medical Journal (Online), 365.

Blomkamp, E. (2018). The promise of co‐design for public policy. Australian Journal of Public Administration, 77(4), 729-743.

Boubakri, N., Cosset, J. C., & Saffar, W. (2008). Political connections of newly privatized firms. Journal of corporate finance, 14(5), 654-673.

Brabham, D. C. (2012). The myth of amateur crowds: A critical discourse analysis of crowdsourcing coverage. Information, Communication & Society, 15(3), 394-410.

Brass, P. R. (1994). The politics of India since independence (Vol. 1). Cambridge University Press.

Brundtland, G. H. (2018). India’s health reforms: the need for balance. S0140-6736(18)32387-0

Burger, A., & Silima, T. (2006). Sampling and sampling design. Journal of Public Administration, 41(3), 656-668.

Cao, Q., Thompson, M. A., & Yu, Y. (2013). RETRACTED: Sentiment analysis in decision sciences research: An illustration to IT governance. Decision Support Systems, 54(2), 1010-1015.

Cataldi, M., Di Caro, L., & Schifanella, C. (2010, July). Emerging topic detection on twitter based on temporal and social terms evaluation. In Proceedings of the tenth international workshop on multimedia data mining (pp. 1-10).

Chae, B. K. (2015). Insights from hashtag# supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research. International Journal of Production Economics, 165, 247-259.

Chatterjee, P. (2019a). Modi's health reforms: between hope and hype. The Lancet, 394(10208), 1495-1498.

Chatterjee, P. (2019b). Health debate rising around the upcoming Indian election. Available on Dec 2019, Retrieved from

Chau, M., & Xu, J. (2012). Business intelligence in blogs: Understanding consumer interactions and communities. MIS quarterly, 36(4), 1189-1216.

Chun, S. A., & Luna-Reyes, L. F. (2012). Social media in government. Government information quarterly, 29(4), 441-445.

Corcoran, N., & Duane, A. (2018). Using Social Media to Enable Staff Knowledge Sharing in Higher Education Institutions. Australasian Journal of Information Systems, 22.

Criado, J. I., Sandoval-Almazan, R., & Gil-Garcia, J. R. (2013). Government Innovation through Social Media. Government Information Quarterly, 30(4), 319-326.

Curiskis, S. A., Drake, B., Osborn, T. R., & Kennedy, P. J. (2020). An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit. Information Processing & Management, 57(2), 102034.

Cyr, D., Head, M., Larios, H., & Pan, B. (2009). Exploring human images in website design: a multi-method approach. MIS quarterly, 539-566.

Dasgupta, R., & Qadeer, I. (2005). The national rural health mission (NRHM): A critical overview. Indian J Public Health, 49(3), 138-40.

Downs, A. (1957). An economic theory of democracy. New York: Harper.

Economic Times, (2018, May). “NITI Aayog seeks World Bank's help to prevent fraud in health insurance scheme”. Available on 12 Oct 2019, Retrieved from 64051120.cms? from=mdr

Eom, S. J., Hwang, H., & Kim, J. H. (2018). Can social media increase government responsiveness? A case study of Seoul, Korea. Government information quarterly, 35(1), 109-122.

Eze, E., Gleasure, R., & Heavin, C. (2016). How can mHealth applications that are developed in one area of the developing world be adapted for use in others?. Journal of Decision systems, 25(sup1), 536-541.

Falco, E., & Kleinhans, R. (2019). Digital participatory platforms for co-production in urban development: A systematic review. In Crowdsourcing: Concepts, Methodologies, Tools, and Applications (pp. 663-690). IGI Global.

Feldman, R. (2013). Techniques and applications for sentiment analysis. Communications of the ACM, 56(4), 82-89.

Fensel, D., Leiter, B., & Stavrakantonakis, I. (2012). Social media monitoring. Semantic Technology Institute, Innsbruck, 16. Available on 15 June 2018, Retrieved from

Fredrickson, B. L., & Losada, M. F. (2005). Positive Affect and the Complex Dynamics of Human Flourishing. American Psychologist, 60(7), 678–686.

Garg, C. C., & Karan, A. K. (2009). Reducing out-of-pocket expenditures to reduce poverty: a disaggregated analysis at rural-urban and state level in India. Health policy and planning, 24(2), 116-128.

Ghosh, S. M., & Qadeer, I. (2019). Pradhan Mantri Jan Arogya Yojana: A Paper Tiger. Social Change, 49(1), 136-143.

Gintova, M. (2019). Understanding government social media users: An analysis of interactions on immigration, refugees and citizenship canada twitter and facebook. Government Information Quarterly, 36(4), 101388.

Government of India (2020). “Rajya Sabha Unstarred Question No-283”

Goyal, M., Gupta, N., Jain, A., & Kumari, D. (2020). Smart Government E-Services for Indian Railways Using Twitter. In Micro-Electronics and Telecommunication Engineering (pp. 721-731). Springer, Singapore.

Grindle, M. S., & Thomas, J. W. (1991). Public choices and policy change: the political economy of reform in developing countries. Johns Hopkins Univ Pr.

Grover, P., Kar, A. K., & Davies, G. (2018). “Technology enabled Health”–Insights from twitter analytics with a socio-technical perspective. International Journal of Information Management, 43, 85-97.

Grover, P., Kar, A. K., & Ilavarasan, P. V. (2019a). Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs. International Journal of information management, 48, 39-52.

Grover, P., Kar, A. K., Dwivedi, Y. K., & Janssen, M. (2019b). Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences. Technological Forecasting and Social Change, 145, 438-460.

Gul, S., Mahajan, I., Nisa, N.T., Shah, T.A., Asifa, J., & Ahmad, S. (2016). "Tweets speak louder than leaders and masses: An analysis of tweets about the Jammu and Kashmir elections 2014", Online Information Review, 40(7), 900-912.

Gupta, I., Chowdhury, S., Trivedi, M., & Prinja, S. (2017). Do health coverage schemes ensure financial protection from hospitalization expenses? Evidence from eight districts in India. Journal of Social and Economic Development, 19(1), 83-93.

Habrmas, J. (1984). The Theory of Communicative Action: Reason and the Rationalization of Society (Vol. 1). Beacon Press.

Habermas, J. (2015). The Theory of Communicative Action: Lifeworld and Systems, a Critique of Functionalist Reason, Volume 2 (Vol. 2). John Wiley & Sons.

Hacker, J., Wickramasinghe, N., & Durst, C. (2017). Can health 2.0 address critical healthcare challenges? Insights from the case of how online social networks can assist in combatting the obesity epidemic. Australasian journal of information systems, 21, 1-17.

Hambrick, D. C., & Abrahamson, E. (1995). Assessing managerial discretion across industries: A multimethod approach. Academy of Management Journal, 38(5), 1427-1441.

Hansen, D., Shneiderman, B., & Smith, M. A. (2010). Analyzing social media networks with NodeXL: Insights from a connected world. Morgan Kaufmann.

He, W., & Customer Co-creation, The Computer Journal, 57(12), 1909-1920.

Hedestig, U., Skog, D., & Söderström, M. (2018, May). Co-producing public value through IoT and social media. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (pp. 1-10).

Henry, D., Dymnicki, A. B., Mohatt, N., Allen, J., & Kelly, J. G. (2015). Clustering methods with qualitative data: a mixed-methods approach for prevention research with small samples. Prevention science, 16(7), 1007-1016.

Hogg, M. A., & Reid, S. A. (2006). Social identity, self-categorization, and the communication of group norms. Communication Theory, 16(1), 7-30.

Holvoet, N., & Inberg, L. (2014). Taking stock of monitoring and evaluation systems in the health sector: Findings from Rwanda and Uganda. Health Policy and Planning, 29(4), 506-516.

Howlett, M. (2019). Procedural policy tools and the temporal dimensions of policy design. Resilience, robustness and the sequencing of policy mixes. International Review of Public Policy, 1(1: 1), 27-45.

Howlett, M., Mukherjee, I., & Woo, J. J. (2015). From tools to toolkits in policy design studies: the new design orientation towards policy formulation research. Policy & Politics, 43(2), 291-311.

Huh, J., Yetisgen-Yildiz, M., & Pratt, W. (2013). Text classification for assisting moderators in online health communities. Journal of Biomedical Informatics, 46(6), 998-1005.

IRDA. Annual Report, (2016). Insurance Regulatory and Development Authority of India (2016), New Delhi. Available on 5 Sep 2018, Retrieved from

Jones, B. D. (1994). Reconceiving decision-making in democratic politics: Attention, choice, and public policy. University of Chicago Press.

Khawaja, S. (2011). Good governance and result based monitoring. Poorab Academy, Islamabad.

King, S. C., Meiselman, H. L., & Carr, B. T. (2013). Measuring emotions associated with foods: Important elements of questionnaire and test design. Food Quality and Preference, 28(1), 8-16.

Komor, P., & Bazilian, M. (2005). Renewable energy policy goals, programs, and technologies. Energy Policy, 33(14), 1873-1881.

Ku, L. W., Liang, Y. T., & Chen, H. H. (2006, March). Opinion extraction, summarization and tracking in news and blog corpora. In AAAI spring symposium: Computational approaches to analyzing weblogs (Vol. 100107, pp. 1-167).

Kumar, A., & Sharma, A. (2017). Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence. Webology, 14(2). Available on 14 April 2018, Retrieved from

Kumar, D., Kumar, R., Chauhan, R., Chander, V., & Raina, S. K. (2017). Pattern of health promises for Indian democracy: A qualitative review of political manifestos. Journal of family medicine and primary care, 6(3), 455-459.

La Forgia, G., & Nagpal, S. (2012). Government-sponsored health insurance in India: Are you covered?. The World Bank. Available on 27 July 2018, Retrieved from ance%20India.pdf

Lahariya, C. (2018). ‘Ayushman Bharat’program and universal health coverage in India. Indian pediatrics, 55(6), 495-506.

Lau, R. Y., Li, C., & Liao, S. S. (2014). Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis. Decision Support Systems, 65, 80-94.

Lim, W. M., Lim, A. L., & Phang, C. S. C. (2019). Toward a conceptual framework for social media adoption by non-urban communities for non-profit activities: Insights from an integration of grand theories of technology acceptance. Australasian Journal of Information Systems, 23.

Lin, H.-F. (2014). A multi-stage analysis of antecedents and consequences of knowledge management evolution. Journal of Knowledge Management, 18(1), 52-74.

Lindaman, K., & Haider-Markel, D. P. (2002). Issue evolution, political parties, and the culture wars. Political Research Quarterly, 55(1), 91-110.

Linders, D. (2012). From e-government to we-government: Defining a typology for citizen coproduction in the age of social media. Government information quarterly, 29(4), 446-454.

Liu, X., Zhang, W. J., Tu, Y. L., & Jiang, R. (2008). An analytical approach to customer requirement satisfaction in design specification development. Engineering Management, IEEE Transactions on, 55(1), 94-102.

Loukis, E., & Charalabidis, Y. (2015). Active and passive crowdsourcing in government. In Policy practice and digital science (pp. 261-289). Springer, Cham.

Loukis, E., Charalabidis, Y., & Androutsopoulou, A. (2017). Promoting open innovation in the public sector through social media monitoring. Government information quarterly, 34(1), 99-109.

Malsbender, A., Hoffmann, S., & Becker, J. (2014). Aligning Capabilities and Social Media Affordances for Open Innovation in Governments. Australasian Journal of Information Systems, 18(3).

Mathauer, Inke, and Guy Carrin. 2011. ‘The Role of Institutional Design and Organizational Practice for Health Financing Performance and Universal Coverage’. Health Policy 99 (3): 183–192.

Maurya, D. (2018). Contracting out: making it work. Policy Design and Practice, 1(4), 281-297.

Maurya, D., & Ramesh, M. (2019). Program design, implementation and performance: the case of social health insurance in India. Health Economics, Policy and Law, 14(4), 487-508.

Maurya, D., & Srivastava, A. K. (2019). Managing partner opportunism in public–private partnerships: the dynamics of governance adaptation. Public Management Review, 21(10), 1420-1442.

Medaglia, R., & Zheng, L. (2017). Mapping government social media research and moving it forward: A framework and a research agenda. Government information quarterly, 34(3), 496-510.

Melville, P., Sindhwani, V., & Lawrence, R. (2009). Social media analytics: Channeling the power of the blogosphere for marketing insight. Proc. of the WIN, 1(1), 1-5.

Meyer, A. D., & Goes, J. B. (1988). Organizational assimilation of innovations: A multilevel contextual analysis. Academy of Management Journal, 31(4), 897-923.

Miah, S. J., Hasan, N., Hasan, R., & Gammack, J. (2017). Healthcare support for underserved communities using a mobile social media platform. Information Systems, 66, 1-12.

Mitchell, A., Mahal, A., & Bossert, T. (2011). Healthcare utilisation in rural Andhra Pradesh. Economic and Political Weekly, 15-19.

Morgan, K., Cheong, M., & Bedingfield, S. (2018). “Power to the People!”: Social Media Discourse on Regional Energy Issues in Australia. Australasian Journal of Information Systems, 22.

National Health Authority of India (2019). Annual Report 2018-19. Available on 16 Dec 2019, Retrieved from

National Sample Survey Office (2015). “Key Indicators of Social Consumption in Health NSS 71st Round.” National Sample Survey Organization. Available on 19 Jan 2018, Retrieved from KI_Health 75th_ Final.pdf

Netshakhuma, N. S. (2019). Assessment of the status of the social media records: the case of the Mpumalanga government, South Africa. Journal of Archival Organization, 16(4), 178-196.

NITI Aayog, Government of India (2019). ‘Health System for a New India: Building Blocks, Potential Pathways to Reform’. Available on 12 Feb 2020, Retrieved from

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1-13.

Pak, A., & Paroubek, P. (2010, May). Twitter as a corpus for sentiment analysis and opinion mining. In LREc (Vol. 10, No. 2010, pp. 1320-1326).

Pang, B., & Lee, L. (2009). Opinion mining and sentiment analysis. Comput. Linguist, 35(2), 311-312.

Paruthi, M., Mendiratta, P., & Gupta, G. (2020). Young Citizen's Political Engagement in India: Social Media Use by Political Parties. In Examining the Roles of IT and Social Media in Democratic Development and Social Change (pp. 115-132). IGI Global.

Peters, B. G. (2015). State failure, governance failure and policy failure: Exploring the linkages. Public Policy and Administration, 30(3-4), 261-276.

Peters, B. G., Capano, G., Howlett, M., Mukherjee, I., Chou, M. H., & Ravinet, P. (2018). Designing for policy effectiveness: Defining and understanding a concept. Cambridge University Press.

Picazo-Vela, S., Fernández-Haddad, M., & Luna-Reyes, L. F. (2016). Opening the black box: Developing strategies to use social media in government. Government information quarterly, 33(4), 693-704.

Planning Commission (2011). ‘High Level Expert Group Report on Universal Health Coverage for India’. Available on 21 March 2017, Retrieved from

Poell, T., & Rajagopalan, S. (2015). Connecting activists and journalists: Twitter communication in the aftermath of the 2012 Delhi rape. Journalism Studies, 16(5), 719-733.

Prinja, S., Chauhan, A. S., Karan, A., Kaur, G., & Kumar, R. (2017). Impact of publicly financed health insurance schemes on healthcare utilization and financial risk protection in India: a systematic review. PloS one, 12(2).

Qaiser, S., & Ali, R. (2018). Text mining: use of TF-IDF to examine the relevance of words to documents. International Journal of Computer Applications, 181(1), 25-29.

Rathore, A. K., & Ilavarasan, P. V. (2020). Pre-and post-launch emotions in new product development: Insights from twitter analytics of three products. International Journal of Information Management, 50, 111-127.

Rathore, A. K., Ilavarasan, P. V., & Dwivedi, Y. K. (2016). Social media content and product co-creation: an emerging paradigm. Journal of Enterprise Information Management, 29(1), 7-18.

Rathore, A. K., Kar, A. K., & Ilavarasan, P. V. (2017). Social media analytics: Literature review and directions for future research. Decision Analysis, 14(4), 229-249.

Ren, Y., Wang, R., & Ji, D. (2016). A topic-enhanced word embedding for Twitter sentiment classification. Information Sciences, 369, 188-198.

RSBY Newsletter, (2013). Ministry of Labour and Employment Government of India and Indo-German Social Security Programme, and MoLE, Govt. of India and German Development Cooperation. 2014. RSBY Connect Issue No. 24. New Delhi. Available on 15 May 2018, Retrieved from

Sachan, D. (2014). Health gets greater attention in the 2014 Indian elections. The Lancet, 383(9925), 1281-1282.

Steen, M., Manschot, M., & De Koning, N. (2011). Benefits of co-design in service design projects. International Journal of Design, 5(2), 53-60.

Surowiecki, J. (2004). The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business. Economies, Societies and Nations, 296, 5.

Sutton, J. N. (2009). Social media monitoring and the democratic national convention: New tasks and emergent processes. Journal of Homeland Security and Emergency Management, 6(1).

Taeihagh, A. (2017). Crowdsourcing: a new tool for policy-making?. Policy Sciences, 50(4), 629-647.

Tajfel, H., & Turner, J. C. (2004). The social identity theory of intergroup behavior. In J. T. Jost, & J. Sidanius (Eds.), Political Psychology: Key readings (key readings in social Psychology) (pp. 276-293). New York, NY: Psychology Press.

Tuarob, S., Tucker, C. S., Salathe, M., & Ram, N. (2014). An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages. Journal of Biomedical Informatics, 49, 255-268.

Verma, R. K., Kumar, S., & Ilavarasan, P. V. (2017). Government portals, social media platforms and citizen engagement in India: Some insights. Procedia computer science, 122, 842-849.

Wan, C., Shen, G. Q., & Yu, A. (2015). Key determinants of willingness to support policy measures on recycling: A case study in Hong Kong. Environmental Science & Policy, 54, 409-418.

Wang, H., Lu, Y., & Zhai, C. (2010, July). Latent aspect rating analysis on review text data: a rating regression approach. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 783-792). ACM.

Warf, B. (2016). e-Government in Asia: Origins, politics, impacts, geographies. Chandos Publishing.

Weissberg, R. (2001). Why policymakers should ignore public opinion polls. Washington, DC: Cato Institute.

Williamson, O. E. (1993). Calculativeness, trust, and economic organization. The journal of law and economics, 36(1, Part 2), 453-486.

Yang, S., & Zhang, H. (2018). Text mining of Twitter data using a latent Dirichlet allocation topic model and sentiment analysis. Int. J. Comput. Inf. Eng, 12, 525-529.

Yoon, S., Elhadad, N., & Bakken, S. (2013). A practical approach for content mining of tweets. American journal of preventive medicine, 45(1), 122-129.

Zaller, J. R. (1992). The nature and origins of mass opinion. Cambridge university press.

Zhang, B., & Vos, M. (2014). Social media monitoring: aims, methods, and challenges for international companies. Corporate Communications: An International Journal. 19(4), 371-383.

How to Cite
Rathore, A. K., Maurya, D., & Srivastava, A. K. (2021). Do policymakers use social media for policy design? A Twitter analytics approach. Australasian Journal of Information Systems, 25.
Research on User Involvement