Web Survey Bibliography
Title Millennials and emojis in Spain and Mexico.
Author Bosch Jover, O.; Revilla, M.
Year 2017
Access date 15.09.2017
Abstract Howe and Strauss (1991) define the Millennial Cohort as consisting of individuals born between 1982 to 2004. Even if different authors use different definitions, they usually agree that millennials are defined as the first generation to have had, during their formative years, access to internet. Moreover, this generation (sometimes called generation Y) has the lowest rate of high sustained attention, a 31% according to the Microsoft Consumer Insights report “Attention Spans” (2015), versus 34% for the 35-54 years cohort and 35% for the 54 and older cohort.
In order to involve this generation in survey participation, and achieve high quality answers from them, designers requires new survey tools. Several approaches have been used. In particular, gamification has emerged as an increasingly popular solution to improve the motivation and the engagement of young respondents to surveys (Mavletova, 2015). This trend assumes that the inclusion of visually appealing or gamified elements can help to improve the engagement.
In this study, we focused on emojis (the popular pictographs used in electronic messages), as a tool to make the surveys more attractive to millenials. Six billions emojis are used everyday according to Swiftkey. According to an analysis that we have done using data from twitter, 7.441.058 emojis were send on Twitter in 24 hours (November 2, 2016). In addition, emojis, which originally were only present on Internet, started to invade all the offline world too: there are mugs, t-shirts, all kinds of products using emojis. Emojis are used by brands. They are used by political parties in their campaign. They became part of everybody's life, online and offline, from birth to old age. For millennials, emojis are really integrated in their way to communicate. Thus, if we want to make surveys more natural for respondents, integrating the use of emojis in the surveys seem an interesting alternative. In addition, emojis are used all over the world, which make them the first international language.
In order to involve this generation in survey participation, and achieve high quality answers from them, designers requires new survey tools. Several approaches have been used. In particular, gamification has emerged as an increasingly popular solution to improve the motivation and the engagement of young respondents to surveys (Mavletova, 2015). This trend assumes that the inclusion of visually appealing or gamified elements can help to improve the engagement.
In this study, we focused on emojis (the popular pictographs used in electronic messages), as a tool to make the surveys more attractive to millenials. Six billions emojis are used everyday according to Swiftkey. According to an analysis that we have done using data from twitter, 7.441.058 emojis were send on Twitter in 24 hours (November 2, 2016). In addition, emojis, which originally were only present on Internet, started to invade all the offline world too: there are mugs, t-shirts, all kinds of products using emojis. Emojis are used by brands. They are used by political parties in their campaign. They became part of everybody's life, online and offline, from birth to old age. For millennials, emojis are really integrated in their way to communicate. Thus, if we want to make surveys more natural for respondents, integrating the use of emojis in the surveys seem an interesting alternative. In addition, emojis are used all over the world, which make them the first international language.
Access/Direct link Conference Homepage (abstract) / (presentation)
Year of publication2017
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (189)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Lessons from recruitment to an internet based survey for Degenerative Cervical Myelopathy: merits of...; 2017; Davies, B.; Kotter, M. R.
- Achieving Strong Privacy in Online Survey; 2017; Zhou, Yo.; Zhou, Yi.; Chen, S.; Wu, S. S.
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems; 2017; Romano, M. F.; Sardella, M. V.; Alboni, F.
- Device and Internet Use among Spanish-dominant Hispanics: Implications for Web Survey Design and Testing...; 2017; Trejo, Y. A. G.; Schoua-Glusberg, A.
- Utjecaj vizualne orientacije skale za odgovaranje i broja stranica web-upitnika na rezultate ispitivanja...; 2017; Malikovic, M.; Svegar, D.; Somodzi, S.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Effects of Mobile versus PC Web on Survey Response Quality: a Crossover Experiment in a Probability...; 2017; Antoun, C.; Couper, M. P.; G. G.Conrad, F. G.
- Dynamic Question Ordering in Online Surveys; 2016; Early, K.; Mankoff, J.; Fienberg, S. E.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Development and Pilot Test of a Mobile Application for Field Data Collection; 2016; Chiappetta, L.; Kerr, M. M.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Inferences from Internet Panel Studies and Comparisons with Probability Samples; 2016; Lachan, R.; Boyle, J.; Harding, R.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Effects of Personalization and Invitation Email Length on Web-Based Survey Response Rates; 2016; Trespalacios, J. H.; Perkins, R. A.
- Who Are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences...; 2015; Antoun, C.
- App vs. Web for Surveys of Smartphone Users: Experimenting with mobile apps for signal-contingent experience...; 2015; McGeeney, K.; Keeter, S.; Igielnik, R.; Smith, A.; Rainie, L.
- Mode System Effects in an Online Panel Study: Comparing a Probability-based Online Panel with two Face...; 2015; Struminskaya, B.; De Leeuw, E. D.; Kaczmirek, L.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- Evaluating Visual Design Elements for Data Collection and Panelist Engagement; 2015; Christian, L. M.; Harm, D.; Langer Tesfaye, C.; Wells, T.
- Predictors of inconsistent responding in web surveys; 2015; Akbulut, Y.
- Does Opinion Leadership Increase the Followers on Twitter; 2015; Hwang, Y.
- When it comes to mobile respondent experience and data quality, survey design matters; 2014; Mitchell, N.
- The Changing Landscape of Technology and its Effect on Online Survey Data Collection; 2014; Mitchell, N.
- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
- The Effectiveness of Mailed Invitations for Web Surveys and the Representativeness of Mixed-Mode versus...; 2014; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Gender Differences in Internet Addiction Associated with Psychological Health Indicators Among Adolescents...; 2014; Ha, Y.-M., Hwang, W. J.
- Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative...; 2014; Dasgupta, S., Vaughan, A. S., Kramer, M. R., Sanchez, T. H., Sullivan, P. S.
- Does Self-Selection Affect Samples' Representativeness in Online Surveys? An Investigation in Online...; 2014; Khazaal, Y., van Singer, M., Chatton, A., Achab, S., Zullino, D., Rothen, S., Khan, R., Billieux, J.,...
- Differences in intrapersonal and interactional empowerment between lurkers and posters in health-related...; 2014; Petrovcic, A., Petric, G.
- Web-based Emergency Department Patient Satisfaction Surveys May Introduce Potential for Bias; 2014; Broadwater-Hollifield, C., Fair, J., Podolsky, S., et al.
- Validating respondents' identity in online samples; 2014; Baker, R., Miller, C., Kachhi-Jiwani, D., Lange, K., Wilding-Brown, L., Tucker, J.
- Which fieldwork method for what target group? How to improve response rate and data quality; 2014; Wulfert, T., Woppmann, A.
- Social desirability is the same in offline, online, and paper surveys: A meta-analysis; 2014; Dodou, D., de Winter J. C. F.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.
- Online Surveys as a Management Tool for Monitoring Multicultual Virtual Team Processes; 2014; Scovotti, C.
- Ideal participants in online market research: Lessons from closed communities; 2013; Heinze, A., Ferneley, E., Child, P.
- The internet user profile of Italian families of patients with rare diseases: a web survey; 2013; Tozzi, A. E., Mingarelli, R., Agricola, E., Gonfiantini, M., Pandolfi, E., Carloni, E., Gesualdo, F.,...
- Internet health information seeking is a team sport: Analysis of the Pew Internet Survey; 2013; Sadasivam, R. S., Kinney, R. L., Lemon, S. C., Shimada, S. L., Allison, J. J., Houston, T. K.
- Advantages of a global multimodal print & digital readership survey; 2013; Cour, N., Saint-Joanis, G.
- Australia: building a 21st century readership survey; 2013; Green, A., White, H.
- Video Content in Web Surveys: Effects on Selection Bias and Validity; 2013; Shapiro-Luft, D., Cappella, J.
- When to and When Not to Conduct a Web Survey; 2013; Barna, A.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- Educational use of smart phone technology: A survey of mobile phone application use by undergraduate...; 2013; Bomhold, C. R.
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.