2018
DOI: 10.1016/j.ijinfomgt.2017.12.002
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Social media analytics – Challenges in topic discovery, data collection, and data preparation

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Cited by 612 publications
(426 citation statements)
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“…The large content corpus collected from the online community demanded social media analytics (Stieglitz, Mirbabaie, Ross, & Neuberger, ). In addition to descriptive statistics (for instance, number of posts in each cocreation activity), topic modeling was conducted to understand the nature of information flowing through different activities, and social network analysis was performed to examine interactions between users and Xiaomi staff.…”
Section: Methodsmentioning
confidence: 99%
“…The large content corpus collected from the online community demanded social media analytics (Stieglitz, Mirbabaie, Ross, & Neuberger, ). In addition to descriptive statistics (for instance, number of posts in each cocreation activity), topic modeling was conducted to understand the nature of information flowing through different activities, and social network analysis was performed to examine interactions between users and Xiaomi staff.…”
Section: Methodsmentioning
confidence: 99%
“…There are presently two types of research on personal values: (a) using a personal value scale to survey the subjects' values, so as to know the personal values in different countries (Sagiv & Schwartz, ; Schwartz, ; Swartz, ) and (2) improving the personal value scale according to individual demand by analysing and verifying the results (Krystallis, Vassallo, & Chryssohoidis, ). In recent years, social media (Stieglitz, Mirbabaie, Ross, & Neuberger, ; Tajudeen, Jaafar, & Ainin, ; Wikipedia, ) such as Facebook and Instagram have become platforms for users to offer their personal opinions, which can be viewed by the general public (Golbeck, Robles, & Turner, ). Gou, Zhou, and Yang () mentioned that there is research on using the digital footprints of users on social media to predict personal traits and gain a deeper understanding of users.…”
Section: Introductionmentioning
confidence: 99%
“…to individual demand by analysing and verifying the results (Krystallis, Vassallo, & Chryssohoidis, 2012). In recent years, social media (Stieglitz, Mirbabaie, Ross, & Neuberger, 2018;Tajudeen, Jaafar, & Ainin, 2018;Wikipedia, 2016a) such as Facebook and Instagram have become platforms for users to offer their personal opinions, which can be viewed by the general public (Golbeck, Robles, & Turner, 2011). Gou, Zhou, and Yang (2014) mentioned that there is research on using the digital footprints of users on social media to predict personal traits and gain a deeper understanding of users.…”
mentioning
confidence: 99%
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“…Reuter and Kaufhold () summarized 15 years of social media use during natural disasters and human‐induced crises, identifying different usage, role, and perception patterns between administrative and public stakeholders both in the real and in virtual realms. New opportunities have emerged for emergency services to alert and warn of crises (Brynielsson et al., ) and for social media analytics (Stieglitz, Mirbabaie, Ross, & Neuberger, ). Palen and Hughes () conclude that social media also promote socio‐technical innovations, such as citizen reporting, community‐oriented computing, collective intelligence and distributed problem solving, and digital volunteerism.…”
Section: Introductionmentioning
confidence: 99%