Table 3 Variables and measurements... | Emerald Publishing

Table 3

Variables and measurements

Variable	Definition	Proxy	Reference
Independent variable
Device types	The devices individuals use to generate MGC messages on Sina Weibo	−1 = PCs; 1 = Mobile phones	Raphaeli et al. (2017)
Social features	The description of social processes, interactions and the quality of interpersonal relationships in the text content of an MGC message	The ratio of social words used in an MGC message compared to the total number of words in that message	Huang et al. (2012)
Achievement features	The description of success and the process of pursuing success in the text content of an MGC message	The ratio of achievement-based words used in an MGC message compared to the total number of words in that message	Huang et al. (2012)
Dependent variable
Consumer engagement	The interaction between consumers and MGC	The total number of likes, comments and shares for each MGC record	Pezzuti et al. (2021)
Control variable
Picture	Whether an MGC message contains a picture or pictures	0 = No; 1 = Yes	Lee et al. (2020)
Video	Whether an MGC message contains a video or videos	0 = No; 1 = Yes	Lee et al. (2020)
Word count	The number of words in the text content of an MGC message	The number of words in each minute recorded for the text content of an MGC message	Fieder et al. (2018)
First-person pronouns' frequency	The number of first-person pronoun words in the text content of an MGC message	The ratio of first-person pronouns used in an MGC message compared to the total number of words in that message	Labrecque et al. (2020)
Second-person pronouns' frequency	The number of second-person pronoun words in the text content of an MGC message	The ratio of second-person pronouns used in an MGC message compared to the total number of words in that message	Labrecque et al. (2020)
Third-person pronouns' frequency	The number of third-person pronoun words in the text content of an MGC message	The ratio of third-person used in an MGC message compared to the total number of words in that message	Labrecque et al. (2020)
Affective words' frequency	The number of affective words in the text content of an MGC message	The ratio of affective words used in an MGC message compared to the total number of words in that message	Ransbotham et al. (2019)

Variable	Definition	Proxy	Reference
Independent variable
Device types	The devices individuals use to generate MGC messages on Sina Weibo	−1 = PCs; 1 = Mobile phones	Raphaeli et al. (2017)
Social features	The description of social processes, interactions and the quality of interpersonal relationships in the text content of an MGC message	The ratio of social words used in an MGC message compared to the total number of words in that message	Huang et al. (2012)
Achievement features	The description of success and the process of pursuing success in the text content of an MGC message	The ratio of achievement-based words used in an MGC message compared to the total number of words in that message	Huang et al. (2012)
Dependent variable
Consumer engagement	The interaction between consumers and MGC	The total number of likes, comments and shares for each MGC record	Pezzuti et al. (2021)
Control variable
Picture	Whether an MGC message contains a picture or pictures	0 = No; 1 = Yes	Lee et al. (2020)
Video	Whether an MGC message contains a video or videos	0 = No; 1 = Yes	Lee et al. (2020)
Word count	The number of words in the text content of an MGC message	The number of words in each minute recorded for the text content of an MGC message	Fieder et al. (2018)
First-person pronouns' frequency	The number of first-person pronoun words in the text content of an MGC message	The ratio of first-person pronouns used in an MGC message compared to the total number of words in that message	Labrecque et al. (2020)
Second-person pronouns' frequency	The number of second-person pronoun words in the text content of an MGC message	The ratio of second-person pronouns used in an MGC message compared to the total number of words in that message	Labrecque et al. (2020)
Third-person pronouns' frequency	The number of third-person pronoun words in the text content of an MGC message	The ratio of third-person used in an MGC message compared to the total number of words in that message	Labrecque et al. (2020)
Affective words' frequency	The number of affective words in the text content of an MGC message	The ratio of affective words used in an MGC message compared to the total number of words in that message	Ransbotham et al. (2019)