ArticleHeliyon2020
Marketing challenges in the #MeToo era: gaining business insights using an exploratory sentiment analysis.
Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 48 citations in OpenAlex.
- Article
- Unveiling Frequently Co-Occurring Reasons of Attitudinal Acceptance of Intimate Partner Violence against Women: A Behavioral Data Science Perspective.International journal of environmental research and public health · 2022Article
- Extending UTAUT with national identity and fairness to understand user adoption of DCEP in China.Scientific reports · 2022Article
- Sentiment analysis of vegan related tweets using mutual information for feature selection.PeerJ. Computer science · 2022Article
- Framing of visual content shown on popular social media may affect viewers' attitudes to threatened species.Scientific reports · 2021Article
- Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review.Expert systems with applications · 2021Review
- Data Mining to Select Relevant Variables Influencing External and Internal Workload of Elite Blind 5-a-Side Soccer.International journal of environmental research and public health · 2021Article
- A machine-learning scraping tool for data fusion in the analysis of sentiments about pandemics for supporting business decisions with human-centric AI explanations.PeerJ. Computer science · 2021Article
- Making sense of tweets using sentiment analysis on closely related topics.Social network analysis and mining · 2021Article
- The Impact of Environmental Social Media Publications on User Satisfaction with and Trust in Tourism Businesses.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The #MeToo movement is among the most impressive social movements of recent years that have attracted stakeholders' attention and changed social mindsets. The present study seeks to provide a deeper understanding of the challenges involved in the #MeToo movement by identifying the main issues regarding business and marketing activities. To this end, the analysis of user-generated content (UGC) on Twitter was performed to extract the tweets with the hashtag "#MeToo" (31,305 tweets). Then, a Latent Dirichlet Allocation (LDA) model was applied to this database to identify topics. In the next step, using a Supervised Vector Machine (SVM) type analysis, we classified the tweets according to the sentiment they express (positive, negative, and neutral). Finally, we performed data text mining using the NVivo software. Our findings underscore the importance of (i) gender equality in communication campaigns, (ii) gender equality at work and (iii) social mobilizations in social networks, as well as suggest that (iv) marketing advertisers should become more inclusive and respectful in their advertising and marketing campaigns. The identified topics may be a starting point for future research on social movements, sociology, sexuality, or machismo in work environment, business and marketing strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.