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What type of social media posts about sustainable construction is better for audience engagement? [Elektronski vir]Primožič, Lea, 1991- ...Background In an effort to move to a sustainable society, new concepts and findings related to sustainable construction are being developed. With ambition to transfer newly developed knowledge to ... society, various communication paths are being used. In this study we investigated what kind of messages shared on institutional social media channels (Facebook, Twitter (now renamed to X), and LinkedIn) about sustainable construction create more audience engagement. Methods The study consisted of two phases of weekly social media posts. In each phase, 15 posts were published on the same day and time, while engagement was monitored. Three different types of posts were created, that were sequential cycling each week. Type 1 was written informative content related to research activities; type 2 was image content related to the research activities and equipment, with a short text caption of the image; and type 3 was image content with people – scientists working on research activities with a short text caption of the image. Results Poisson regression analysis revealed that type 3 posts result in the most audience engagement on LinkedIn, suggesting that using images of people in combination with short text captions is the most effective way to engage social media audiences. These findings can help organizations to use social media to promote sustainable construction and other sustainability-related research. The engagement was lower on Facebook and Twitter (X). Conclusions As the science is aiming to be closer to the society, these findings deliver an important insight of science communication through the social media. Although the study delivered several lessons learnt related to science communication through social media studies, it provides an important bases for further studies. Conclusions can support research organizations in improving their science communication.Source: Open research Europe [Elektronski vir]. - ISSN 2732-5121 (Vol. 4, art. 24, 2024, str. 1-13)Type of material - e-article ; adult, seriousPublish date - 2024Language - englishCOBISS.SI-ID - 184974083
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Primožič, Lea, 1991- | 54959 |
Dolezal, Franz | |
Prislan, Rok | 35893 |
Kutnar, Andreja | 31274 |
Source: Personal bibliographies
and: SICRIS
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