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Table 1 Summary of the derivable user attributes, necessary data, and existing methodologies

From: Developing insights from the collective voice of target users in Twitter

Type User attribute Data (Methodology)
Demographic attributes Age Tweet text ([11]) Tweet text, follow ([12]) Profile image, the name, screen name, and description fields in User object ([13])
Education Tweet text, follow ([14])
Gender The name field in User object ([18] Profile image, the name, screen name, and description fields in User object ([13]) Tweet text ([11, 15,16,17]) Tweet text, follow ([12])
Location The location field in User object ([18] Tweet text ([11, 21,22,23,24,25,26]) Tweet text, follow ([12, 27]) Tweet text, tweet context ([28, 29])
Marital status /spouse Tweet text, follow ([12, 14, 30])
Language variety Tweet text ([15, 17])
Occupation Tweet text ([31]) Tweet text, follow ([12, 14])
Race/ethnicity The name field in User object ([18] Tweet text, User object field, follow ([32])
Other personal attributes Account type Tweet text ([16]) Tweet text, follow ([30]) Tweet text, User object fields ([33]) User object fields, tweet context ([34]) Profile image, the name, screen name, and description fields in User object ([13])
Expertise Tweet text, the description field in User object, user lists ([35]) User lists ([36])
Hobbies Tweet text, follow ([12])
Interests Tweet text ([37,38,39]) Tweet text, follow ([40, 41]) Posted URLs ([42]) User lists ([36])
Personality traits - Big Five Tweet text ([43,44,45,46,47]) User object fields ([48])
Personality traits - Dark Triad Tweet text and User object fields ([49])
Personality traits - MBTI Tweet text ([50, 51])
Political orientation Tweet text ([11, 52]) Tweet text, User object fields, follow ([32])
Influence Follow ([55,56,57]) Follow, tweet text ([58, 59]) Tweet text ([60])