TweetRipple: Understanding Your Twitter Audience and the Impact of Your Tweets

The Effects of Data Collection Methods in Twitter

“…The social network-based crawling method starts with a seed set of known Australian Twitter user profiles and crawls the social network multigraph of followers to find other Australian user profiles (Dennett et al, 2016). The seed set consisted of public celebrities, politicians, journalists, government accounts, and accounts for Australian companies and institutions.…”

Detecting Social Roles in Twitter

“…Words related to social role 010110111100 writer, nwriter, scribbler, writter, glutton 01011010111110 teacher, tutor, preacher, homeschooler, nbct, hod, dutchman, nqt, tchr 0101101111110 musician, philologist, orchestrator, memoirist, dramatist, violist, crooner, flautist, filmaker, humourist, dramaturg, harpist, flutist, trumpeter, improvisor, trombonist, musicologist, organist, puppeteer, laureate, poetess, hypnotist, audiobook, comedienne, saxophonist, cellist, scriptwriter, narrator, muso, essayist, improviser, satirist, thespian, ghostwriter, arranger, humorist, violinist, magician, lyricist, playwright, pianist, screenwriter, novelist, performer, philosopher, composer, comedian, filmmaker, poet interviewer, documentarian, erstwhile, dramaturg, biographer, reviewer, bookseller, essayist, unpublished, critic, author, aspiring, filmmaker, dramatist, playwright, laureate, humorist, screenwriter, storyteller, ghostwriter, copywriter, scriptwriter, proofreader, copyeditor, poet, memoirist, satirist, podcaster, novelist, screenplay, poetess 642 teacher, learner, superintendent, pyp, lifelong, flipped, preparatory, cue, yearbook, preschool, intermediate, nwp, school, primary, grades, prek, distinguished, prep, dojo, isd, hpe, ib, esl, substitute, librarian, nbct, efl, headteacher, mfl, hod, elem, principal, sped, graders, nqt, eal, tchr, secondary, tdsb, kindergarten, edd, instructional, elementary, keystone, grade, exemplary, classroom, pdhpe 384 musician, songwriter, singer, troubadour, arranger, composer, drummer, session, orchestrator, saxophonist, keyboardist, percussionist, guitarist, soloist, instrumentalist, jingle, trombonist, vocal, backing, virtuoso, bassist, vocalist, pianist, frontman We used 6 million Twitter profiles that were automatically collected by crawling a social network starting from a seed set of Twitter accounts (Dennett et al, 2016) to derive the Brown clusters and word embeddings for this domain. For both methods, the text of each profile description was normalised to be in lowercase and tokenised using whitespace and punctuation as delimiters.…”

“…2 To study social roles in Twitter profiles, we compiled a dataset of approximately 1,000 randomly selected English Twitter profiles which were annotated with social roles. These samples were drawn from a large number of Twitter profiles crawled by a social network-based method (Dennett et al, 2016). Such a dataset provides a useful collection of profiles for researchers to study social media and to build machine learning models.…”

“…Each word is mapped to the unique cluster ID to which it was assigned, and these cluster identifiers were used as features. distinguished, prep, dojo, isd, hpe, ib, esl, substitute, librarian, nbct, efl, headteacher, mfl, hod, elem, principal, sped, graders, nqt, eal, tchr, secondary, tdsb, kindergarten, edd, instructional, elementary, keystone, grade, exemplary, classroom, pdhpe 384 musician, songwriter, singer, troubadour, arranger, composer, drummer, session, orchestrator, saxophonist, keyboardist, percussionist, guitarist, soloist, instrumentalist, jingle, trombonist, vocal, backing, virtuoso, bassist, vocalist, pianist, frontman We used 6 million Twitter profiles that were automatically collected by crawling a social network starting from a seed set of Twitter accounts (Dennett et al, 2016) to derive the Brown clusters and word embeddings for this domain. For both methods, the text of each profile description was normalised to be in lowercase and tokenised using whitespace and punctuation as delimiters.…”

Semantic social modeling of online user - generated content

“…In Section 2.4, we also described a framework (Dennett et al, 2016) that exploits influence for evaluating and enhancing communication issues between governmental agencies and citizens (OSNs users). The authors evaluate the quality of the agencies' responses with respect to the citizens' requests, analyze their sentiment and suggest influential users for agencies in order to obtain a new audience.…”