Skip to main content

Appraising WhatsApp in the Indian Context: Understanding the Rural Sentiment

  • Conference paper
  • First Online:
Information and Communication Technologies for Development (ICT4D 2020)

Abstract

Web-based instant messaging applications are predominant as means of Internet usage in rural settings. This becomes particularly interesting in the Indian rural context where applications like WhatsApp are accepted and used extensively, while the Internet is still rather an alien concept for a large part of the population. While adoption of these applications is motivated by ease of access, ease of use, and other facilitating conditions, to better understand the collective acceptance, the role of social influence needs to be contextualized for the rural areas in point. To this end, we use the analytical lens of social capital to understand and elaborate on the rural sentiment around the usage of WhatsApp. We triangulate a thematic analysis of qualitative details from an ethnographic study with the sentiment analysis of selected parts of interviews conducted during the study. This mixed-method study throws light on how social constructs in rural households play a role in defining technological usability and habits, as well as individual-level perceptions and sentiments. Our study, which illustrates the usefulness of mixed methods in ICT4D, has implications for various stakeholders to understand the usage patterns and perception of digital platforms in rural contexts.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Aharony, N.: What’s App: a social capital perspective. Online Inf. Rev. 39(1), 26–42 (2015)

    Article  Google Scholar 

  • Aharony, N., Gazit, T.: The importance of the WhatsApp family group: an exploratory analysis. Aslib J. Inf. Manage. 68(2), 174–192 (2016)

    Article  Google Scholar 

  • Aronson, J.: A pragmatic view of thematic analysis. Qual. Rep. 2(1), 1–3 (1995)

    MathSciNet  Google Scholar 

  • Balkrishan, D., Joshi, A., Rajendran, C., Nizam, N., Parab, C., Devkar, S.: Making and breaking the user-usage model: WhatsApp adoption amongst emergent users in India. In: Proceedings of the 8th Indian Conference on Human Computer Interaction, pp. 52–63, December 2016

    Google Scholar 

  • Braun, V., Clarke, V.: Thematic analysis. In: APA Handbook of Research Methods in Psychology, Research Designs: Quantitative, Qualitative, Neuropsychological, and Biological, vol. 2, pp. 57–71. American Psychological Association (2012)

    Google Scholar 

  • Bijarnia, S., Ilavarasan, P.V., Kar, A.K.: Comparing SERVQUAL for transportation services in the sharing economy for emerging markets: insights from Twitter analytics. In: Rana, N.P., et al. (eds.) Digital and Social Media Marketing. ATPEM, pp. 127–134. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-24374-6_9

    Chapter  Google Scholar 

  • Bijarnia, S., Khetan, R., Ilavarasan, P.V., Kar, A.K.: Analyzing customer engagement using Twitter analytics: a case of uber car-hailing services. In: Pappas, I.O., Mikalef, P., Dwivedi, Y.K., Jaccheri, L., Krogstie, J., Mäntymäki, M. (eds.) I3E 2019. LNCS, vol. 11701, pp. 404–414. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29374-1_33

    Chapter  Google Scholar 

  • Bourdieu, P.: The forms of capital (1986)

    Google Scholar 

  • Chamlertwat, W., Bhattarakosol, P., Rungkasiri, T., Haruechaiyasak, C.: Discovering consumer insight from Twitter via sentiment analysis. J. UCS 18(8), 973–992 (2012)

    Google Scholar 

  • Coleman, J.S.: Social capital in the creation of human capital. Am. J. Sociol. 94, S95–S120 (1988)

    Article  Google Scholar 

  • DePaolo, C.A., Wilkinson, K.: Get your head into the clouds: Using word clouds for analyzing qualitative assessment data. TechTrends 58(3), 38–44 (2014)

    Article  Google Scholar 

  • Devanuj, Joshi, A.: Technology adoption by “emergent” users: the user-usage model. In: Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction (APCHI 2013). Association for Computing Machinery, New York pp. 28–38 (2013)

    Google Scholar 

  • Digital Empowerment Foundation Publication Page. https://www.defindia.org/wp-content/uploads/2018/10/WhatsApp-Rural-Study_V3.pdf. Accessed 29 May 2020

  • DiMaggio, P., Hargittai, E., Neuman, W.R., Robinson, J.P.: Social implications of the Internet. Ann. Rev. Sociol. 27(1), 307–336 (2001)

    Article  Google Scholar 

  • Galloway, L.: Can broadband access rescue the rural economy? J. Small Bus. Enterp. Dev. 14(4), 641–653 (2007)

    Article  Google Scholar 

  • Gazit, T., Aharony, N.: Factors explaining participation in WhatsApp groups: an exploratory study. Aslib J. Inf. Manag. 70(4), 390–413 (2018)

    Article  Google Scholar 

  • Güven, S., Steiner, M., Ge, N., Paradkar, A.: Understanding the role of sentiment analysis in contract risk classification. In: IEEE Network Operations and Management Symposium (NOMS), pp. 1–6. IEEE, May 2014

    Google Scholar 

  • Harwood, T.G., Garry, T.: An overview of content analysis. Market. Rev. 3(4), 479–498 (2003)

    Article  Google Scholar 

  • Heimerl, F., Lohmann, S., Lange, S., Ertl, T.: Word cloud explorer: text analytics based on word clouds. In: Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 1833–1842 (2014)

    Google Scholar 

  • IMRB Homepage. https://imrbint.com/images/common/ICUBE™_2019_Highlights.pdf. Accessed 29 May 2020

  • Kayser, V., Blind, K.: Extending the knowledge base of foresight: the contribution of text mining. Technol. Forecast. Soc. Chang. 116, 208–215 (2017)

    Article  Google Scholar 

  • Kenny, R., Kenny, C.: Superfast broadband: is it really worth a subsidy? Info 13(4), 3–29 (2011)

    Article  Google Scholar 

  • Kleine, D.: ICT4WHAT?—using the choice framework to operationalise the capability approach to development. J. Int. Dev. 22(5), 674–692 (2010)

    Article  Google Scholar 

  • Leininger, M.M.: Ethnography and ethnonursing: models and modes of qualitative data analysis. In: Qualitative Research Methods in Nursing, pp. 33–72 (1985)

    Google Scholar 

  • Leong, L.W., Ibrahim, O., Dalvi-Esfahani, M., Shahbazi, H., Nilashi, M.: The moderating effect of experience on the intention to adopt mobile social network sites for pedagogical purposes: an extension of the technology acceptance model. Educ. Inf. Tech. 23(6), 2477–2498 (2018). https://doi.org/10.1007/s10639-018-9726-2

    Article  Google Scholar 

  • Lin, N.: Building a network theory of social capital. In: Social Capital, (pp. 3–28). Routledge (2017)

    Google Scholar 

  • Liu, B.: Sentiment analysis and subjectivity. In: Handbook of Natural Language Processing, vol. 2, pp. 627-666 (2010)

    Google Scholar 

  • Liu, B.: Sentiment analysis and opinion mining. In: Synthesis Lectures on Human Language Technologies, vol. 5, no. 1, pp. 1–167 (2012)

    Google Scholar 

  • Mir, U.B., Kar, A.K., Dwivedi, Y.K., Gupta, M.P., Sharma, R.S.: Realizing digital identity in government: prioritizing design and implementation objectives for Aadhaar in India. Gov. Inf. Quarterly 37, 101442 (2019a)

    Article  Google Scholar 

  • Mir, U.B., Kar, A.K., Gupta, M.P., Sharma, R.S.: Prioritizing digital identity goals – the case study of aadhaar in India. In: Pappas, I.O., Mikalef, P., Dwivedi, Y.K., Jaccheri, L., Krogstie, J., Mäntymäki, M. (eds.) I3E 2019. LNCS, vol. 11701, pp. 489–501. Springer, Cham (2019b). https://doi.org/10.1007/978-3-030-29374-1_40

    Chapter  Google Scholar 

  • Mittal, A., Goel, A.: Stock prediction using Twitter sentiment analysis 15 (2012). Standford University, CS229 (2011 http://cs229.stanford.edu/proj2011/GoelMittal-StockMarketPredictionUsingTwitterSentimentAnalysis.pdf)

  • Nie, N.H., Hillygus, D.S., Erbring, L.: Internet use, interpersonal relations, and sociability. Internet Everyday Life, 215–243 (2002)

    Google Scholar 

  • Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends® Inf. Retrieval 2(1–2) 1–135 (2008)

    Google Scholar 

  • Parmar, M., Maturi, B., Dutt, J.M., Phate, H.: Sentiment Analysis-Interview Transcripts (2018)

    Google Scholar 

  • Putnam, R.D.: Bowling Alone: the Collapse and Revival of American Community. Simon and Schuster, New York (2000)

    Google Scholar 

  • Putnam, R.D.: Bowling together. Am. Prosp. 13(3), 20–22 (2002)

    Google Scholar 

  • Rambocas, M., Pacheco, B.G.: Online sentiment analysis in marketing research: a review. J. Res.Inter. Market. 12(2), 146–163 (2018)

    Google Scholar 

  • Rathore, A.K., Kar, A.K., Ilavarasan, P.V.: Social media analytics: literature review and directions for future research. Decis. Anal. 14(4), 229–249 (2017)

    Article  MathSciNet  Google Scholar 

  • Rathore, A.K., Ilavarasan, P.V., Dwivedi, Y.K.: Social media content and product co-creation: an emerging paradigm. J. Enterp. Inf. Manag. 29(1), 7–18 (2016)

    Article  Google Scholar 

  • Sánchez-Moya, A., Cruz-Moya, O.: “Hey there! I am using WhatsApp”: a preliminary study of recurrent discursive realisations in a corpus of WhatsApp statuses. Procedia-Soc. Behav. Sci. 212, 52–60 (2015)

    Article  Google Scholar 

  • Scott, N., Garforth, C., Jain, R., Mascarenhas, O., McKemey, K.: The economic impact of telecommunications on rural livelihoods and poverty reduction: a study of rural communities in India (Gujarat), Mozambique and Tanzania (2005)

    Google Scholar 

  • Selouani, S.A., Hamam, H.: Social impact of broadband internet: a case study in the Shippagan Area, a rural zone in Atlantic Canada. J. Inf. Inf. Tech. Organ. 2, 79–94 (2007)

    Google Scholar 

  • Singh, P., Dwivedi, Y.K., Kahlon, K.S., Pathania, A., Sawhney, R.S.: Can twitter analytics predict election outcome? An insight from 2017 Punjab assembly elections. Gov. Inf. Q. 101444 (2020)

    Google Scholar 

  • Statista Page. https://www.statista.com/statistics/280914/monthly-active-whatsapp-users-in-india/. Accessed 29 May 2020

  • Taylor, S.J., Bogdan, R.: Introduction to Qualitative Research Methods: The Search for Meanings. Wiley, New york (1984)

    Google Scholar 

  • Thapa, D.: Exploring the link between ICT intervention and human development through a social capital lens: the case study of a wireless project in the mountain region of Nepal. Universitet i Agder/University of Agder (2012)

    Google Scholar 

  • Venkatesh, V., Sykes, T.A.: Digital divide initiative success in developing countries: a longitudinal field study in a village in India. Inf. Syst. Res. 24(2), 239–260 (2013)

    Article  Google Scholar 

  • Williams, D.: On and off the’Net: scales for social capital in an online era. J. Comput.-Mediated Commun. 11(2), 593–628 (2006)

    Article  Google Scholar 

  • Woolcock, M.: The place of social capital in understanding social and economic outcomes. Can. J. Policy Res. 2(1), 11–17 (2001)

    Google Scholar 

  • Zachariadis, M., Scott, S., Barrett, M.: Methodological implications of critical realism for mixed-methods research. MIS Q. 855–879 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Silvia Masiero .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vagrani, A., Bijarnia, S., Ilavarasan, P.V., Masiero, S. (2020). Appraising WhatsApp in the Indian Context: Understanding the Rural Sentiment. In: Bass, J.M., Wall, P.J. (eds) Information and Communication Technologies for Development. ICT4D 2020. IFIP Advances in Information and Communication Technology, vol 587. Springer, Cham. https://doi.org/10.1007/978-3-030-65828-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-65828-1_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65827-4

  • Online ISBN: 978-3-030-65828-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics