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COVID-19 and the Gendered Use of Emojis on Twitter: Infodemiology Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0747-5632(96)00004-0openalex-snapshot
Effects of pictographs and quoting on flaming in electronic mail
inferredcites →https://doi.org/10.1016/j.chb.2011.11.012openalex-snapshot
A longitudinal study of emoticon use in text messaging from smartphones
inferredcites →https://doi.org/10.1016/j.eswa.2018.02.043openalex-snapshot
Creating emoji lexica from unsupervised sentiment analysis of their descriptions
inferredcites →https://doi.org/10.1016/j.tele.2018.06.005openalex-snapshot
Motives, frequency and attitudes toward emoji and emoticon use
inferredcites →https://doi.org/10.1016/s0140-6736(19)30652-xopenalex-snapshot
Gender inequality and restrictive gender norms: framing the challenges to health
inferredcites →https://doi.org/10.1016/s0140-6736(20)30526-2openalex-snapshot
COVID-19: the gendered impacts of the outbreak
inferredcites →https://doi.org/10.1017/cbo9780511977589.005openalex-snapshot
Gendered social interactions in face-to-face and computer-mediated communication
inferredcites →https://doi.org/10.1080/01436597.2015.1108827openalex-snapshot
Ebola, gender and conspicuously invisible women in global health governance
inferredcites →https://doi.org/10.1080/10350330.2018.1472864openalex-snapshot
The semiotics of emoji: the rise of visual language in the age of the internet
inferredcites →https://doi.org/10.1080/13552074.2019.1615288openalex-snapshot
Overcoming the ‘tyranny of the urgent’: integrating gender into disease outbreak preparedness and response
inferredcites →https://doi.org/10.1080/17404622.2019.1593472openalex-snapshot
Are you emoji savvy? Exploring nonverbal communication through emojis
inferredcites →https://doi.org/10.1080/23796529.1998.11674539openalex-snapshot
Visual Cues in Computer-Mediated Communication: Supplementing Text with Emoticons
inferredcites →https://doi.org/10.1080/26410397.2020.1773163openalex-snapshot
Reproductive health under COVID-19 – challenges of responding in a global crisis
inferredcites →https://doi.org/10.1089/10949310050191809openalex-snapshot
Emotional Expression Online: Gender Differences in Emoticon Use
inferredcites →https://doi.org/10.1108/jcm-03-2017-2141openalex-snapshot
Social media sentiment analysis: lexicon versus machine learning
inferredcites →https://doi.org/10.1111/1468-2346.12704openalex-snapshot
A gendered human rights analysis of Ebola and Zika: locating gender in global health emergencies
inferredcites →https://doi.org/10.1111/j.1083-6101.2005.tb00238.xopenalex-snapshot
Gender, Identity, and Language Use in Teenage Blogs
inferredcites →https://doi.org/10.1111/jcom.12086openalex-snapshot
Cross-Cultural Comparison of Nonverbal Cues in Emoticons on Twitter: Evidence from Big Data Analysis
inferredcites →https://doi.org/10.1177/0022022117734372openalex-snapshot
Is ☺ Smiling? Cross-Cultural Study on Recognition of Emoticon’s Emotion
inferredcites →https://doi.org/10.1177/0894439307311611openalex-snapshot
Emoticons and Online Message Interpretation
inferredcites →https://doi.org/10.1177/2056305115604853openalex-snapshot
The Conservatism of Emoji: Work, Affect, and Communication
inferredcites →https://doi.org/10.1371/journal.pone.0133505openalex-snapshot
You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
inferredcites →https://doi.org/10.1371/journal.pone.0198857openalex-snapshot
Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter
inferredcites →https://doi.org/10.14201/fjc201715199217openalex-snapshot
¿Digo lo que siento y siento lo que digo? Una aproximación transcultural al uso de los emoticonos y emojis en los mensajes en CMC
inferredcites →https://doi.org/10.15344/2349-2635/2014/107openalex-snapshot
Gender Differences in Emoticon Use on Mobile Text Messaging: Evidence from a Korean Sample
inferredcites →https://doi.org/10.2196/publichealth.5789openalex-snapshot
Sentiment Analysis of Health Care Tweets: Review of the Methods Used
inferredcites →https://doi.org/10.2200/s00416ed1v01y201204hlt016openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.2991/assehr.k.200406.047openalex-snapshot
The Difference in Emoji Usage Between Genders
inferredcites →https://doi.org/10.31234/osf.io/tg7vzopenalex-snapshot
The effect of messaging and gender on intentions to wear a face covering to slow down COVID-19 transmission
inferredcites →https://doi.org/10.32350/llr.52.04openalex-snapshot
Semiotic Representation of Gender in Google Emojis: A Liberal Feminist Perspective
inferredcites →https://doi.org/10.3389/fpubh.2020.00152openalex-snapshot
Gender Differences in Patients With COVID-19: Focus on Severity and Mortality
inferredcites →https://doi.org/10.3390/info11100461openalex-snapshot
Bots as Active News Promoters: A Digital Analysis of COVID-19 Tweets
inferredcites →https://doi.org/10.4135/9781412961288openalex-snapshot
Encyclopedia of Research Design
inferredcites →https://doi.org/10.7575/aiac.alls.v.7n.6p.56openalex-snapshot
Are Emojis Creating a New or Old Visual Language for New Generations? A Socio-semiotic Study
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Automatic Extraction of Emojiset
inferred← citeshttps://doi.org/10.1007/978-3-031-61819-2_2openalex-snapshot
The Far-Right Online Communities and the Dissemination of Hate
inferred← citeshttps://doi.org/10.1007/978-3-031-62446-9_7openalex-snapshot
Nonverbal Communication in the Consulting Room
inferred← citeshttps://doi.org/10.1007/978-3-031-73723-7_8openalex-snapshot
Emojis and Their Topics: Several Areas of Emoji Use
inferred← citeshttps://doi.org/10.1007/s10489-022-03195-yopenalex-snapshot
Emoji use in China: popularity patterns and changes due to COVID-19
inferred← citeshttps://doi.org/10.1007/s10912-023-09835-9openalex-snapshot
“Illness Calls for Stories”: Care, Communication, and Community in the COVID-19 Patient Narrative
inferred← citeshttps://doi.org/10.1016/j.dcm.2021.100543openalex-snapshot
Emoji in social media discourse about working from home
inferred← citeshttps://doi.org/10.1016/j.heliyon.2021.e07144openalex-snapshot
Social media and COVID-19 misinformation: how ignorant Facebook users are?
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2024.104550openalex-snapshot
The impact of citywide community quarantine policy on the urban fresh food availability: An insight from the topic clout on social media
inferred← citeshttps://doi.org/10.1016/j.jhtm.2023.08.001openalex-snapshot
How risk messages influence tourist processing and sharing: The role of emojis
inferred← citeshttps://doi.org/10.1016/j.tele.2023.102065openalex-snapshot
Emoji and visual complexity in health information design: A moderated serial mediation model
inferred← citeshttps://doi.org/10.1016/j.teler.2025.100233openalex-snapshot
Emojified communication: How do news organizations use emojis on social media?
inferred← citeshttps://doi.org/10.1016/s2589-7500(20)30315-0openalex-snapshot
What social media told us in the time of COVID-19: a scoping review
inferred← citeshttps://doi.org/10.1080/10410236.2022.2149112openalex-snapshot
Characterizing the Gendered Twitter Discussion of COVID-19 Hoax
inferred← citeshttps://doi.org/10.1080/17453054.2021.1941808openalex-snapshot
A thematic analysis of Instagram’s gendered memes on COVID-19
inferred← citeshttps://doi.org/10.1111/ijcs.12879openalex-snapshot
Emojis to conversion on social media
inferred← citeshttps://doi.org/10.1136/bmjgh-2021-008149openalex-snapshot
#WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.21608/jsb.2021.150199openalex-snapshot
اتجاهات مستخدمی مواقع التواصل الاجتماعی نحو جائحة کورونا (کوفید -19): تحلیل من المستوى الثانی لدراسات مدخل معالجة اللغة الطبیعیة Social media users' attitudes towards Corona Pandemic (Covid19): A secondary analysis of Natural language processing approach studies
inferred← citeshttps://doi.org/10.2196/26874openalex-snapshot
COVID-19 Vaccine Hesitancy in Canada: Content Analysis of Tweets Using the Theoretical Domains Framework
inferred← citeshttps://doi.org/10.2196/27341openalex-snapshot
Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence
inferred← citeshttps://doi.org/10.2196/29025openalex-snapshot
Public Sentiment and Discourse on Domestic Violence During the COVID-19 Pandemic in Australia: Analysis of Social Media Posts
inferred← citeshttps://doi.org/10.2196/33851openalex-snapshot
Emojis and Emoticons in Health Care and Dermatology Communication: Narrative Review
inferred← citeshttps://doi.org/10.2196/41134openalex-snapshot
Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study
inferred← citeshttps://doi.org/10.2196/41582openalex-snapshot
Public Officials’ Engagement on Social Media During the Rollout of the COVID-19 Vaccine: Content Analysis of Tweets
inferred← citeshttps://doi.org/10.2196/preprints.33851openalex-snapshot
Emojis and Emoticons in Healthcare and Dermatology Communication: A Narrative Review (Preprint)
inferred← citeshttps://doi.org/10.22230/cjc.2021v46n4a4055openalex-snapshot
Telegramming Hate: Far-Right Themes on Dark Social Media
inferred← citeshttps://doi.org/10.30935/ojcmt/16275openalex-snapshot
The impact of emoticons on women’s friendships on Facebook
inferred← citeshttps://doi.org/10.32714/ricl.14.01.01openalex-snapshot
Do men and women use emojis differently? A corpus-based investigation
inferred← citeshttps://doi.org/10.3389/fdgth.2023.1203874openalex-snapshot
Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada
inferred← citeshttps://doi.org/10.3389/fpsyg.2022.1059672openalex-snapshot
The pragmatic functions of emojis in Arabic tweets
inferred← citeshttps://doi.org/10.3390/bdcc9040088openalex-snapshot
Harnessing the Power of Multi-Source Media Platforms for Public Perception Analysis: Insights from the Ohio Train Derailment
inferred← citeshttps://doi.org/10.36367/ntqr.14.2022.e599openalex-snapshot
Gender vulnerability in the face of challenges faced in the COVID-19 pandemic
inferred← citeshttps://doi.org/10.4018/979-8-3693-7934-9.ch009openalex-snapshot
Socio-Semiotics of Internet Communications
inferred← citeshttps://doi.org/10.9734/jammr/2022/v34i2131551openalex-snapshot
Validation of Sentiment Markers Extracted by Using Machine Learning: Twitter Mining of COVID-19
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