Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?
By Olivier Toubia, Andrew T. Stephen. Marketing science (Providence, R.I.), 2013
461 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Safety Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/8a71fd10e8cc21917acd01d357e1feaa7c15d257
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Andrew T. Stephen
- P. K. Kannan
- Kofi Osei-Frimpong
- Michael Trusov
- Graeme McLean
- Ashish Kumar
- Cait Lamberton
- Rishika Rishika
In Safety Research
In Sociology and Political Science
- P. K. Kannan
- Lauren Grewal
- Andrew T. Stephen
- Cait Lamberton
- Nicole Coleman
- Michael Trusov
- Ram Bezawada
- Gil Appel
Citations in the corpus
- Digital marketing: A framework, review and research agenda (2017, unknown): “Toubia and Stephen (2013) focused on the important motivation question: why do people contribute on social media?”
- When Posting About Products on Social Media Backfires: The Negative Effects of Consumer Identity Signaling on Product Interest (2019, background): “Social media enables consumers to transmit social information; thus, a key motivation on social media may be to share self-relevant content that signals identity (Back et al. 2010; Reed et al. 2012; Swann 1983; Toubia and Stephen 2013).”
- From Social to Sale: The Effects of Firm-Generated Content in Social Media on Customer Behavior (2016, background): “Somestudieshaveexaminedthemotivationsthatunderlie people ’ s decisions to contribute content to social media (e.g., Toubia and Stephen 2013), while others have focused on how UGC interacts with traditional media marketing (Stephen and Galak 2012).”
- A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry (2016, background): “For example, Toubia and Stephen’s (2013) work on Twitter and Wilcox and Stephen’s (2012) and Naylor, Lamberton, and West’s (2012) work on Facebook have been rapidly gaining citations.”
- Characterizing Silent Users in Social Media Communities (2015, unknown): “Therefore, most previous works (Java et al. 2007; Naaman, Boase, and Lai 2010; Alhadi, Staab, and Gottron 2011; Toubia and Stephen 2013) that attempt to understand user intentions in writing tweets have resorted to manual effort to label tweets.”
- Examining online social brand engagement: a social presence theory perspective (2017, background): “Unfortunately, most studies have focused rather on the effect of user-generated content (UGC) on brand engagement via social media (e.g., Laroche et al., 2012; Stephen and Galak, 2012; Toubia and Stephen, 2013).”
- Identity and Opinion: A Randomized Experiment (2014, unknown): “…social cues has been shown to increase click-through-rates and conversion rates in a variety of domains including product adoption (Aral and Walker 2011, 2012), charitable giving (Tucker 2013), information sharing (Bakshy et al. 2012b), and the adoption of premium services (Bapna and Umyarov 2011).”
- The future of social media in marketing (2019, background): “2004; Hollenbeck and Kaikati 2012; Toubia and Stephen 2013; Wallace et al.”
- Online Shopping and Social Media: Friends or Foes? (2017, background): “In addition, there is a tendency among social network users to present themselves and their experiences in a positive light (Toubia and Stephen 2013).”
- Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics (2021, background): “The evidence shows that users often adopt technology for pleasure (Toubia and Stephen 2013).”