Voicing Job Satisfaction and Dissatisfaction Through Twitter: Employees’ Use of Cyberspace

This article adopts a work orientations perspective to consider how, through the medium of Twitter, employees voice the things they love and hate about their jobs. Using 817,235 tweets posted by 650,958 users in the calendar year 2014, the findings provide new insights into both employee voice and job satisfaction/dissatisfaction as well as an enhanced understanding of the employment relationship. First, the findings indicate that Twitter, in its expression of very personal and individualistic needs, might be considered a new form of employee voice. Second, Twitter captures the positive, the negative and the ambivalence in the notion of job satisfaction. Third, the description of the methodology used to access and analyse Twitter data illustrates how new methodological approaches, particularly those embedded within computer science, may be of value to social scientists in their analysis of ‘Big Data’.

[1]  M. Williams,et al.  Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data , 2015, PloS one.

[2]  John H. Goldthorpe,et al.  The Affluent Worker: Industrial Attitudes and Behaviour , 1968 .

[3]  Patric R. Spence,et al.  How much Klout do you have ... A test of system generated cues on source credibility , 2013, Comput. Hum. Behav..

[4]  D. Murthy.  Twitter: Microphone for the masses? , 2011 .

[5]  Ward van Zoonen,et al.  How employees use Twitter to talk about work: A typology of work-related tweets , 2016, Comput. Hum. Behav..

[6]  N. Booth,et al.  Mapping and leveraging influencers in social media to shape corporate brand perceptions , 2011 .

[7]  Stefan Stieglitz,et al.  Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior , 2013, J. Manag. Inf. Syst..

[8]  Huan Liu,et al.  Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose , 2013, ICWSM.

[9]  Paula K. Mowbray,et al.  An Integrative Review of Employee Voice: Identifying a Common Conceptualization and Research Agenda , 2015 .

[10]  J. C. van Houwelingen,et al.  Logistic Regression for Correlated Binary Data , 1994 .

[11]  Ingo Feinerer.  Introduction to the tm Package Text Mining in R , 2007 .

[12]  Adrian John Wilkinson,et al.  New times for employee voice , 2011 .

[13]  David Stillwell,et al.  In a World of Big Data, Small Effects Can Still Matter: A Reply to Boyce, Daly, Hounkpatin, and Wood (2017) , 2017, Psychological science.

[14]  Lars Kai Hansen,et al.  Pruning the vocabulary for better context recognition , 2004, ICPR 2004.

[15]  Andy Brown,et al.  Not all that it might seem: why job satisfaction is worth studying despite it being a poor summary measure of job quality , 2012 .

[16]  D. Scholarios,et al.  'The kids are alert' : employed students' experiences of and attitudes towards the use of social networking sites in recruitment and employment , 2013 .

[17]  Hans Doorewaard,et al.  Work Orientations of Female Returners , 2004 .

[18]  D. Murthy.  Towards a Sociological Understanding of Social Media: Theorizing Twitter , 2012 .

[19]  James Richards,et al.  Because I Need Somewhere to Vent: The Expression of Conflict through Work Blogs , 2008 .

[20]  Abigail Schoneboom,et al.  Workblogging in a Facebook age , 2011 .

[21]  Nemanja Spasojevic,et al.  Klout score: Measuring influence across multiple social networks , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[22]  Mohammad Ali Abbasi,et al.  Measuring User Credibility in Social Media , 2013, SBP.

[23]  Nikola Balnave,et al.  E-voice : how network and media technologies are shaping employee voice , 2014 .

[24]  Iris K. Schneider,et al.  The ABC of Ambivalence: Affective, Behavioral, and Cognitive Consequences of Attitudinal Conflict , 2015 .

[25]  Joe Phua,et al.  Following Celebrities’ Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers’ Source Credibility Perception, Buying Intention, and Social Identification With Celebrities , 2014 .

[26]  Leticia Bode,et al.  Campaign Klout: Measuring Online Influence During the 2012 Election , 2015 .

[27]  Graeme Martin,et al.  Do social media enhance constructive employee voice all of the time or just some of the time , 2015 .

[28]  Charles L. Hulin,et al.  Job Attitudes, Job Satisfaction, and Job Affect: A Century of Continuity and of Change , 2017, The Journal of applied psychology.

[29]  E. Morrison,et al.  Employee Voice and Silence , 2014 .

[30]  Peter Warr,et al.  Work Orientations, Well-Being and Job Content of Self-Employed and Employed Professionals , 2018 .

[31]  Sune Lehmann,et al.  Understanding the Demographics of Twitter Users , 2011, ICWSM.

[32]  Danah Boyd,et al.  I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience , 2011, New Media Soc..

[33]  Brian Cooper,et al.  Use of social media at work: a new form of employee voice? , 2016 .

[34]  M. Rose,et al.  Good Deal, Bad Deal? Job Satisfaction in Occupations , 2003 .

[35]  Katarzyna Kosmala,et al.  ‘In the End, You Can Only Slag People Off for so Long’: Employee Cynicism Through Work Blogging , 2013 .

[36]  Julie B. Olson-Buchanan,et al.  The Determinants of Alternative Forms of Workplace Voice , 2012 .

[37]  Lex B. Verdijk,et al.  Aging Is Accompanied by a Blunted Muscle Protein Synthetic Response to Protein Ingestion , 2015, PloS one.

[38]  Roobina Ohanian.  Construction and Validation of a Scale to Measure Celebrity Endorsers' Perceived Expertise, Trustworthiness, and Attractiveness , 1990 .

[39]  P. Thompson,et al.  Social Media(tion) and the Reshaping of Public/Private Boundaries in Employment Relations , 2016 .

[40]  Abigail Schoneboom,et al.  Sleeping Giants? Fired Workbloggers and Labour Organisation , 2011 .