Journal Article: “Effectively Organizing Hashtags on Instagram: A Study of Library-Related Captions”
The following article (preprint) was recently published by Information Research.
Åbo Akademi, Turku, Finland
Ericsson AB, Stockholm, Sweden
Liaoning University, Shenyang, China
Vol. 25 No. 2, June, 2020
Introduction. Little scientific attention has been paid to outlining the communicating function of hashtags on Instagram. The present study aims to fill this gap by analysing hashtag organization. Practical insights into user engagement, community building, and big data utilisation in the context of libraries are discussed.
Method. To achieve a valid result, 2.5 million captions on Instagram with library-related content were collected.
Analysis. Quantitative analyses were carried out with the statistical add-in packages in Python 3.0.
Results. For captions with one hashtag included, putting it in the middle results in more likes and comments; for captions composed of more than 80% of hashtags, it is advisable to use more words than having a caption full of hashtags; for captions composed of less than 80% of hashtags, placing all hashtags consecutively at the beginning is not recommended as this is more likely to result in zero comments.
Conclusion. It is concluded that placing hashtag(s) in the front of the caption should be avoided; it is not wise to use as many hashtags as possible. More effort should be made to better organize hashtags in captions because their location has an influence on attracting comments and likes.
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.