Web Survey Bibliography
Title Identifying the real differences of opinion in social media sentiment
Author Pettit, A.
Source International Journal of Market Research, 55, 6
Year 2013
Access date 10.04.2014
Full text
Abstract
This study examined the differences in social media sentiment based on author
gender, age and country. After creating ten category-generic datasets, millions
of social media verbatims from thousands of websites were collected, cleaned
of spam, and scored into five-point sentiment scales. The results showed that
women exhibit more positive sentiment, older people exhibit more positive
sentiment, and Australians exhibit more positive sentiment, while Americans
share more negative sentiment. The differences were small but clear, suggesting
that research methodologists should apply correction factors to ensure that their
results more accurately reflect differences of opinion as opposed to differences of
word choice. Business users of social media data can be reassured that correction
factors are not required to improve the accuracy of their research.
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Year of publication2013
Bibliographic typeJournal article
Web survey bibliography - International Journal of Market Research (46)
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- PC, phone or tablet? Use, preference and completion rates for web surveys ; 2017; Brosnan, K.; Gruen, B.; Dolnicar, S.
- Device use in web surveys: The effect of differential incentives; 2016; Mavletova, A. M.; Couper, M. P.
- Gamification in market research: Increasing enjoyment, participant engagement and richness of data,...; 2015; Bailey, P.; Pritchard, G.; Kernohan, H.
- Can a non-probabilistic online panel achieve question quality similar to that of the European Social...; 2015; Revilla, M.; Saris, W. E.; Loewe, G.; Ochoa, C.
- The best times to call in a mobile phone survey; 2015; Vicente, P.
- Yes-no answers versus check-all in self-administered modes ; 2015; Callegaro, M.; Henderson, V.; Murakami, M.; Tepman, Z.
- Ideal participants in online market research: Lessons from closed communities; 2013; Heinze, A., Ferneley, E., Child, P.
- Identifying the real differences of opinion in social media sentiment; 2013; Pettit, A.
- Should the third reminder be sent? The role of survey response timing on web survey results; 2013; Rao, K., Pennington, J.
- Book Review: Brand Together: How Co-creation Generates Innovation and Re-energizes Brands, by Nicholas...; 2013; Wilson, Al.
- Digging deeper: using implicit tests to define consumers' semantic network; 2013; Riviere, P., Cuny, C., Allain, G., Vereijken, C.
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Moving an established survey online – or not?; 2013; Barber, T., Chilvers, D., Kaul, S.
- A Smarter Way to Select Respondents for Surveys; 2012; Terhanian, G., Bremer, J.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; Hansen, J. M., Smith, S. M.
- Snap judgement polling; 2011; Anderson, K., Wright, M., Wheeler, M.
- Individual differences in motivation to participate in online panels; 2011; Bruggen, E., Wetzels, M., de Ruyter, K., Schillewaert, N.
- Visiting item non-responses in internet survey data collection; 2011; Albaum, G., Roster, C. A., Smith, S. M., Wiley, J. B.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Online qualitative approaches: an appraisal; 2011; Parker, Ke.
- Machines that lean how to code open ended survey data; 2010; Esuli, A., Sebastiani, F.
- Research into questionnaire design - A summary of the literature; 2010; Lietz, P.
- Effects of incentives and the Big Five personality dimensions on internet panellists' ratings; 2009; Larson, A. J., Sachau, D. A.
- Using mobile phones for survey research A comparison with fixed phones ; 2009; Vicente, P., Reis, E., Santos, R.
- Media research: can technology replace interviews?; 2009; Windle, R.
- Prospects for mixed-mode data collection in cross-national surveys; 2009; Eva, G., Jowell, R.
- Online audio group discussions: a comparison with face-to-face methods; 2009; Cheng, C. C., Krumwiede, D., Sheu, C.
- Forum - Research 2.0: engage or give up the ghost?; 2009; Oxley, M., Light, B.
- A hybrid online and offline approach to market measurement studies; 2009; Cooke, M., Watkins, N., Moy, C.
- "Connected research" - How market research can get the most out of semantic web waves; 2009; Schillewaert, N., De Ruyck, T., Verhaeghe, A.
- Join the research - participant-led open-ended questions ; 2008; Verhaeghe, A., De Ruyck, T., Schillewaert, N.
- Optimising the language of email survey invitations; 2008; Moskowitz, H., Martin, B.
- Asking the age question in mail and online surveys; 2008; Gendall, P., Healey, B.
- Mixed mode: the only 'fitness' regime?; 2008; Blyth, B.
- The journal's 50th anniversary; 2008; Mouncey, P.
- Recruitment for online access panels; 2004; Goeritz, A.
- The impact of material incentives on response quantity, response quality, sample composition, survey...; 2004; Goeritz, A.
- Response order effects – how do people read?; 2003; Duffy, B.
- Human factors in business-to-business research over the internet; 2001; Culkin, N., Brown, Js., Fletcher, J.
- The record of internet-based opinion polls in predicting the results of 72 races in the November 2000...; 2001; Taylor, H., Bremer, J., Overmeyer, C., Siegel, J. W., Terhanian, G.
- A Comparison Of Mail, Fax, And Web-Based Survey Methods; 2000; Cobanoglu, C., Warde, B., Moreo, P. J.
- Comparing the response rate, response speed and response quality of two methods of sending questionnaires...; 1998; Tse, A. C. B.
- The Impact of Topic Interest on Mail Survey Response Behaviour; 1994; Martin, C.