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Journal of Official Statistics

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Sentiments and Perceptions of Business Respondents on Social Media: an Exploratory Analysis

Vanessa Torres van Grinsven
  • Faculty of Social Sciences, Utrecht University, Padualaan 14, 3584 CH, Utrecht; Statistics Netherlands, CBS-weg 11, 6412 EX, Heerlen, Netherlands.
  • Email:
/ Ger Snijkers
  • Statistics Netherlands, CBS-weg 11, 6412 EX, Heerlen, Netherlands
  • Email:
Published Online: 2015-06-27 | DOI: https://doi.org/10.1515/jos-2015-0018


The perceptions and sentiments of business respondents are considered important for statistical bureaus. As perceptions and sentiments are related to the behavior of the people expressing them, gaining insights into the perceptions and sentiments of business respondents is of interest to understand business survey response. In this article we present an exploratory analysis of expressions in the social media regarding Statistics Netherlands. In recent years, social media have become an important infrastructure for communication flows and thus an essential network in our social structure. Within that network participants are actively involved in expressing sentiments and perceptions. The results of our analysis provide insights into the perceptions and sentiments that business respondents have of this national statistical institute and specifically its business surveys. They point towards the specific causes that have led to a positive or a negative sentiment. Based on these results, recommendations aimed at influencing the perceptions and sentiments will be discussed, with the ultimate goal of stimulating survey participation. We also suggest recommendations regarding social media studies on sentiments and perceptions of survey respondents.

Keywords: Business survey communication; survey participation; response motivation; expressions; social media


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About the article

Received: 2013-08-01

Revised: 2015-01-01

Accepted: 2015-01-01

Published Online: 2015-06-27

Published in Print: 2015-06-01

Citation Information: Journal of Official Statistics, ISSN (Online) 2001-7367, DOI: https://doi.org/10.1515/jos-2015-0018. Export Citation

© by Vanessa Torres van Grinsven. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

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