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Assessing Competition for Social Media Attention Among Non-profits

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Social Informatics (SocInfo 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11185))

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Abstract

Most non-profits maintain a social media presence with the hope to increase their popularity and achieve goals, such as to collect donations or recruit volunteers. While there is a strong vibe about the popularity of social media, there is very little empirical evidence on whether and how nonprofits can benefit from social media participation. We propose a method to quantify and assess the relationship between public social media attention and the amount of donations non-profits receive as a measure of success. We aim to address an essential limitation of prior research which has focused on studying the impact of social media on non-profits in isolation. To do so, we conducted a study of the Facebook participation of 76 non-profit organizations in Chile. Our results highlight factors that contribute to competition for public attention and show at what level social media attention relates to donation support.

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Notes

  1. 1.

    http://www.alexa.com/topsites Last retrieved on May 17th, 2018.

  2. 2.

    https://non-profits.fb.com/ Last retrieved on Jul 15th, 2016.

  3. 3.

    https://developers.facebook.com/ Last retrieved on January 27th, 2016.

  4. 4.

    The proportion of likes and comments were both highly correlated to the number of posts; therefore, we decided to keep only the number of posts in our analysis.

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Acknowledgements

This work was partially funded by CONICYT Chile, under grant Conicyt-Fondecyt Iniciación 11161026.

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Correspondence to Rosta Farzan .

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A Appendix

A Appendix

See Fig. 7.

Fig. 7.
figure 7

List of keywords associated with each cluster of non-profit organization, in Spanish and English. The numbers in each cell indicate the distribution of the keyword for that cluster

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Farzan, R., López, C. (2018). Assessing Competition for Social Media Attention Among Non-profits. In: Staab, S., Koltsova, O., Ignatov, D. (eds) Social Informatics. SocInfo 2018. Lecture Notes in Computer Science(), vol 11185. Springer, Cham. https://doi.org/10.1007/978-3-030-01129-1_12

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  • DOI: https://doi.org/10.1007/978-3-030-01129-1_12

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  • Online ISBN: 978-3-030-01129-1

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