From words to connections: Word use similarity as an honest signal conducive to employees' digital communication
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Abstract (arXiv)
Bringing together considerations from three research trends (honest signals of collaboration, socio-semantic networks and homophily theory), we hypothesise that word use similarity and having similar social network positions are linked with the level of employees' digital interaction. To verify our hypothesis, we analyse the communication of close to 1600 employees, interacting on the intranet communication forum of a large company. We study their social dynamics and the 'honest signals' that, in past research, proved to be conducive to employees' engagement and collaboration. We find that word use similarity is the main driver of interaction, much more than other language characteristics or similarity in network position. Our results suggest carefully choosing the language according to the target audience and have practical implications for both company managers and online community administrators. Understanding how to better use language could, for example, support the development of knowledge sharing practices or internal communication campaigns.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 84 references that are in the map. First posted on arXiv 11 Nov 2021.
Builds on
8 of 84 references.
References · 8
- 2021The impact of virtual mirroring on customer satisfactioncited by 9
- 2021Forecasting managerial turnover through e-mail based social network analysiscited by 8
- 2021Measuring the impact of spammers on e-mail and Twitter networkscited by 5
- 2021The power of reciprocal knowledge sharing relationships for startup successcited by 4
- 2014Modeling and Measuring Graph Similarity: The Case for Centrality Distancecited by 3
- 2021It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practicecited by 3
- 2021Robustness and stability of enterprise intranet social networks: The impact of moderatorscited by 2
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Citing papers per year: 2022: 1.
1 paper.
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