Seeking information about food-related risks: the contribution of social media

In the current information landscape, there are numerous channels for consumers to find information on issues pertaining to food safety. The rise in popularity of social media makes communicators question the extent to which resources should be allocated to these channels in order to reach new segments or audiences which are hard to reach through more traditional dissemination channels. A segmentation approach was used to identify groups of consumers based on their inclination to use different channels to seek information about food-related risks, including traditional media, online media and social media. In the wake of the 2011 Escherichia coli contamination crisis, the study focused on a bacterial contamination of fresh vegetables. Results were obtained through an online survey among 1264 participants from eight European countries in September 2012. Four segments were identified: ‘a high cross-channel inclination’ (24%), ‘an established channel inclination’ (31%), ‘a moderate cross-channel inclination’ (26%) and ‘a low cross-channel inclination’ (19%). Results show that social media can act as a complementary information channel for a particular segment, but that it is not a substitute for traditional or online media. Individuals who showed an inclination to use social media in conjunction with other channels considered it more important to be well informed, were more motivated to find additional information, were more sensitive to risks in general and perceived the likelihood of a food incident in the future to be larger. The ‘high cross-channel inclination’ segment contained relatively younger and more Southern European participants.

[1]  J. Craft,et al.  Annual Variation in the Levels of Transcripts of Sex-Specific Genes in the Mantle of the Common Mussel, Mytilus edulis , 2012, PloS one.

[2]  Margôt Kuttschreuter,et al.  Development of strategies for effective communication of food risks and benefits across Europe: Design and conceptual framework of the FoodRisC project , 2011, BMC public health.

[3]  Wim Verbeke,et al.  Agriculture and the food industry in the information age , 2005 .

[4]  Christopher E. Clarke,et al.  Seeking and Processing Influenza Vaccine Information: A Study of Health Care Workers at a Large Urban Hospital , 2012, Health communication.

[5]  S. Noar A 10-Year Retrospective of Research in Health Mass Media Campaigns: Where Do We Go From Here? , 2006, Journal of health communication.

[6]  Margôt Kuttschreuter,et al.  Psychological Determinants of Reactions to Food Risk Messages , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[7]  Gerrit Antonides,et al.  Preferred information strategies for food allergic consumers. A study in Germany, Greece, and The Netherlands , 2011 .

[8]  E. Rogers Diffusion of Innovations , 1962 .

[9]  Douglas A. Powell,et al.  Designing effective messages for microbial food safety hazards , 2010 .

[10]  Gene Rowe,et al.  Perceptions of food risk management among key stakeholders: Results from a cross-European study , 2006, Appetite.

[11]  Koichi Takeda,et al.  Information retrieval on the web , 2000, CSUR.

[12]  Helen L. Partridge,et al.  Exploring information experience using social media during the 2011 Queensland Floods: a pilot study , 2012 .

[13]  P. Gerner-Smidt,et al.  Genomic Characterization of Listeria monocytogenes Strains Involved in a Multistate Listeriosis Outbreak Associated with Cantaloupe in US , 2012, PloS one.

[14]  Dietram A. Scheufele,et al.  Science, New Media, and the Public , 2013, Science.

[15]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[16]  Dirk Lewandowski,et al.  What Users See - Structures in Search Engine Results Pages , 2009, Inf. Sci..

[17]  Pieter Rutsaert,et al.  Consumer interest in receiving information through social media about the risks of pesticide residues , 2013 .

[18]  Christopher K. Hsee,et al.  Risk as Feelings , 2001, Psychological bulletin.

[19]  J. Hair Multivariate data analysis , 1972 .

[20]  A. J. van der Beek,et al.  Intervention mapping for the development of a strategy to implement the insurance medicine guidelines for depression , 2011, BMC public health.

[21]  R. Batra,et al.  Encoding and Retrieval of Ad Affect in Memory , 1991 .

[22]  Sharon Dunwoody,et al.  Studying Heuristic‐Systematic Processing of Risk Communication , 2003, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  S. Dunwoody,et al.  Information Sufficiency and Risk Communication , 2004 .

[24]  J. Rothberg,et al.  Prospective Genomic Characterization of the German Enterohemorrhagic Escherichia coli O104:H4 Outbreak by Rapid Next Generation Sequencing Technology , 2011, PloS one.

[25]  M. Wedel,et al.  Market Segmentation: Conceptual and Methodological Foundations , 1997 .

[26]  A. M. Remaut de Winter,et al.  Sources used and trusted by nationally-representative adults in the European Union for information on healthy eating. , 1997, European journal of clinical nutrition.

[27]  James D. Robinson,et al.  Media Use and Health Information Seeking: An Empirical Test of Complementarity Theory , 2008, Health communication.

[28]  W. Verbeke,et al.  Health-related attitudes as a basis for segmenting European fish consumers , 2010 .

[29]  S. Dunwoody,et al.  Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. , 1999, Environmental research.

[30]  Gary L. Kreps,et al.  Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. , 2005, Archives of internal medicine.

[31]  Richard Shepherd,et al.  Effects of information from sources in conflict and in consensus on perceptions of genetically modified food , 2007 .

[32]  R Shepherd,et al.  What determines trust in information about food-related risks? Underlying psychological constructs. , 1996, Risk analysis : an official publication of the Society for Risk Analysis.

[33]  Christina Hartmann,et al.  A consumer segmentation of nutrition information use and its relation to food consumption behaviour , 2013 .

[34]  Gene Rowe,et al.  The quality of food risk management in Europe: Perspectives and Priorities , 2008 .

[35]  R. Lion,et al.  Risk/Benefit Communication about Food—A Systematic Review of the Literature , 2016, Critical reviews in food science and nutrition.

[36]  Pieter Rutsaert,et al.  The use of social media in food risk and benefit communication , 2013 .

[37]  Christopher J. Griffith,et al.  Assessment of consumer food safety education provided by local authorities in the UK , 2006 .

[38]  G. Rowe,et al.  A perceptual divide? Consumer and expert attitudes to food risk management in Europe , 2007 .

[39]  Pieter Rutsaert,et al.  Social media as a useful tool in food risk and benefit communication?: a strategic orientation approach , 2014 .

[40]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[41]  Lixuan Zhang,et al.  Testing a Model of Users' Web Risk Information Seeking Intention , 2013, Informing Sci. Int. J. an Emerg. Transdiscipl..

[42]  Mohan J. Dutta-Bergman Complementarity in Consumption of News Types Across Traditional and New Media , 2004 .

[43]  J. Gutteling,et al.  Information needs and risk perception as predictors of risk information seeking , 2008 .

[44]  K. Schönbach,et al.  newspapers : A substitute or complement for print newspapers and other information channels ? , 2005 .

[45]  Janneke de Jonge,et al.  Consumer Selection of Food‐Safety Information Sources , 2007, Risk analysis : an official publication of the Society for Risk Analysis.