Word Association Thematic Analysis: A Social Media Text Exploration Strategy

Author(s):  
Michael Thelwall
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Mike Thelwall ◽  
Saheeda Thelwall ◽  
Ruth Fairclough

AbstractPurposeAlthough gender identities influence how people present themselves on social media, previous studies have tested pre-specified dimensions of difference, potentially overlooking other differences and ignoring nonbinary users.Design/methodology/approachWord association thematic analysis was used to systematically check for fine-grained statistically significant gender differences in Twitter profile descriptions between 409,487 UK-based female, male, and nonbinary users in 2020. A series of statistical tests systematically identified 1,474 differences at the individual word level, and a follow up thematic analysis grouped these words into themes.FindingsThe results reflect offline variations in interests and in jobs. They also show differences in personal disclosures, as reflected by words, with females mentioning qualifications, relationships, pets, and illnesses much more, nonbinaries discussing sexuality more, and males declaring political and sports affiliations more. Other themes were internally imbalanced, including personal appearance (e.g. male: beardy; female: redhead), self-evaluations (e.g. male: legend; nonbinary: witch; female: feisty), and gender identity (e.g. male: dude; nonbinary: enby; female: queen).Research limitationsThe methods are affected by linguistic styles and probably under-report nonbinary differences.Practical implicationsThe gender differences found may inform gender theory, and aid social web communicators and marketers.Originality/valueThe results show a much wider range of gender expression differences than previously acknowledged for any social media site.


2014 ◽  
Author(s):  
Sandeep Soni ◽  
Tanushree Mitra ◽  
Eric Gilbert ◽  
Jacob Eisenstein

2019 ◽  
Vol 28 (13) ◽  
pp. 870-877
Author(s):  
Calvin Moorley ◽  
Theresa Chinn

Background: In 2016 the Nursing and Midwifery Council in the UK introduced revalidation, which is the process nurses are required to follow to renew their registration. This provides an opportunity for nurses to shape, develop and evolve social media to meet their professional requirements. Aims: to examine different ways nurses can use social media tools for continuous professional development (CPD) and revalidation. Methods: using a qualitative reflective design, data were gathered from content on the @WeNurses platform and activities organised with other leading health organisations in England. These data were analysed using the social media relationship triangle developed by the authors with a thematic analysis approach. Findings: analysis revealed that social media was used in six categories: publishing, sharing, messaging, discussing, collaborating, and networking. Organised social media events such as: blogs, tweetchats, Twitter storms, webinars, infographics, podcasts, videos and virtual book clubs can support nurses with revalidation and professional development. Conclusion: Through using a participatory CPD approach and embracing professional social media applications nurses have moved social media from the concept of a revolution to an evolution.


2018 ◽  
Vol 118 (8) ◽  
pp. 1578-1596 ◽  
Author(s):  
Wandeep Kaur ◽  
Vimala Balakrishnan

Purpose The purpose of this paper is to investigate the effect of including letter repetition commonly found within social media text and its impact in determining the sentiment scores for two major airlines in Malaysia. Design/methodology/approach A Sentiment Intensity Calculator (SentI-Cal) was developed by assigning individual weights to each letter repetition, and tested it using data collected from official Facebook pages of the airlines. Findings Evaluation metrics indicate that SentI-Cal outperforms the baseline tool Semantic Orientation Calculator (SO-CAL), with an accuracy of 90.7 percent compared to 58.33 percent for SO-CAL. Practical implications A more accurate sentiment score allows airline services to easily obtain a better understanding of the sentiments of their customers, hence providing opportunities in improving their airline services. Originality/value Proposed mechanism calculates sentiment intensity of social media text by assigning individual weightage to each repeated letter and exclamation mark thus producing a more accurate sentiment score.


AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842199553
Author(s):  
Ioana Literat

Social media, and especially popular youth-focused platforms like TikTok, can offer a valuable window into youth experiences, including their perceptions of online learning. Building on a large-scale thematic analysis of 1,930 TikTok videos posted in March-June 2020, this study examines how young people shared their experiences of online learning during the COVID-19 pandemic. Findings indicate that youth portrayed online coursework as overwhelming and relentless against the traumatic background of the pandemic. They sought support, empathy, and authenticity from teachers, and both received and provided emotional and educational support to peers on the platform. Students’ home contexts emerged as particularly salient, making visible the intersections between young people’s home, school and social lives. By facilitating a grounded, bottom-up understanding of students’ experiences and perceptions—shared in their preferred spaces and modes of expression—this research stresses the need to attend to youth perspectives to craft more equitable and empowering educational futures.


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