TY - GEN
T1 - Sizing Up “Media Twitter”
T2 - International Conference on Communication and Applied Technologies, ICOMTA 2021
AU - Wihbey, John P.
AU - Joseph, Kenneth
AU - Reyes, Daniela Rincon
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - This mixed-methods study explores which types of journalists are on social media and what forms of knowledge-related utility they find there for their practice. We leverage computational techniques to identify more than 166,000 journalist profiles, in English, on Twitter and to examine their beats, follower counts, and volume of activity. We pair this with findings from an original 2019 survey with policy-oriented journalists (N = 450) who work on a variety of beats. Two-thirds of journalists believe social media tools help them frequently in their reporting work across many dimensions. Regression analysis finds significant associations with the technology and international affairs beats, as well as among younger journalists and those with a national audience. Our Twitter analysis, based on a dataset of 2.5 billion tweets collected in mid-2020, finds that the beats of politics, international affairs, and technology see the highest relative number of journalists on Twitter. The findings furnish a descriptive, quantitative picture of “Media Twitter” and speak to questions about social media’s place in journalism.
AB - This mixed-methods study explores which types of journalists are on social media and what forms of knowledge-related utility they find there for their practice. We leverage computational techniques to identify more than 166,000 journalist profiles, in English, on Twitter and to examine their beats, follower counts, and volume of activity. We pair this with findings from an original 2019 survey with policy-oriented journalists (N = 450) who work on a variety of beats. Two-thirds of journalists believe social media tools help them frequently in their reporting work across many dimensions. Regression analysis finds significant associations with the technology and international affairs beats, as well as among younger journalists and those with a national audience. Our Twitter analysis, based on a dataset of 2.5 billion tweets collected in mid-2020, finds that the beats of politics, international affairs, and technology see the highest relative number of journalists on Twitter. The findings furnish a descriptive, quantitative picture of “Media Twitter” and speak to questions about social media’s place in journalism.
KW - Beats
KW - Computational social science
KW - Media identity
KW - News media
KW - Reporting
KW - Social journalism
KW - Social media
KW - Twitter
UR - https://www.scopus.com/pages/publications/85116881767
U2 - 10.1007/978-981-16-5792-4_54
DO - 10.1007/978-981-16-5792-4_54
M3 - Conference contribution
AN - SCOPUS:85116881767
SN - 9789811657917
T3 - Smart Innovation, Systems and Technologies
SP - 544
EP - 563
BT - Communication and Smart Technologies - Proceedings of ICOMTA 2021
A2 - Rocha, Álvaro
A2 - Barredo, Daniel
A2 - López-López, Paulo Carlos
A2 - Puentes-Rivera, Iván
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 1 September 2021 through 3 September 2021
ER -