"23andMe confirms: I'm super white" - Analyzing Twitter Discourse On Genetic Testing

Recent progress in genomics is bringing genetic testing to the masses, as participatory public initiatives are well underway to sequence the genome of millions of volunteers, and a new market is booming with a number of companies like 23andMe and AncestryDNA offering affordable tests directly to consumers. Consequently, news, experiences, and views on genetic testing are increasingly shared and discussed online and on social networks like Twitter. In this paper, we present a large-scale analysis of Twitter discourse on genetic testing. We collect 302K tweets from 113K users, posted over 2.5 years, by using thirteen keywords related to genetic testing companies and public initiatives as search keywords. We study both the tweets and the users posting them along several axes, aiming to understand who tweets about genetic testing, what they talk about, and how they use Twitter for that. Among other things, we find that tweets about genetic testing originate from accounts that overall appear to be interested in digital health and technology. Also, marketing efforts as well as announcements, such as the FDA's suspension of 23andMe's health reports, influence the type and the nature of user engagement. Finally, we report on users who share screenshots of their results, and raise a few ethical and societal questions as we find evidence of groups associating genetic testing to racist ideologies.

[1]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[2]  J. V. Moran,et al.  Initial sequencing and analysis of the human genome. , 2001, Nature.

[3]  Mark Dredze,et al.  You Are What You Tweet: Analyzing Twitter for Public Health , 2011, ICWSM.

[4]  T. Bubela,et al.  Myriad and the mass media: the covering of a gene patent controversy , 2007, Genetics in Medicine.

[5]  E. Ashley Towards precision medicine , 2016, Nature Reviews Genetics.

[6]  Emiliano De Cristofaro,et al.  Whole Genome Sequencing: Revolutionary Medicine or Privacy Nightmare? , 2015, Computer.

[7]  Nilesh Saraf,et al.  ‘Warren Buffet is my cousin’: shaping public understanding of big data biotechnology, direct-to-consumer genomics, and 23andMe on Twitter , 2018 .

[8]  Matthias Wjst,et al.  Informed Consent in the Genomics Era , 2008, PLoS medicine.

[9]  Kristina Lerman,et al.  Emotions, Demographics and Sociability in Twitter Interactions , 2015, ICWSM.

[10]  Andelka M. Phillips,et al.  ‘Only a click away — DTC genetics for ancestry, health, love…and more: A view of the business and regulatory landscape’ , 2016, Applied & translational genomics.

[11]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[12]  Michael S. Bernstein,et al.  Twitinfo: aggregating and visualizing microblogs for event exploration , 2011, CHI.

[13]  Sofiane Abbar,et al.  You Tweet What You Eat: Studying Food Consumption Through Twitter , 2014, CHI.

[14]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[15]  Elisabetta Ceretti,et al.  Internet-Based Direct-to-Consumer Genetic Testing: A Systematic Review , 2015, Journal of medical Internet research.

[16]  Mike Thelwall,et al.  Sentiment in short strength detection informal text , 2010 .

[17]  Eric Horvitz,et al.  Predicting Depression via Social Media , 2013, ICWSM.

[18]  Ariella L. Gladstein,et al.  No Evidence from Genome-Wide Data of a Khazar Origin for the Ashkenazi Jews , 2013, Human biology.

[19]  Gianluca Stringhini,et al.  Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and Its Effects on the Web , 2016, ICWSM.

[20]  Djoerd Hiemstra,et al.  On the Impact of Twitter-based Health Campaigns: A Cross-Country Analysis of Movember , 2015, Louhi@EMNLP.

[21]  Emiliano De Cristofaro Genomic Privacy and the Rise of a New Research Community , 2014, IEEE Security & Privacy.

[22]  Mark Dredze,et al.  Quantifying Mental Health Signals in Twitter , 2014, CLPsych@ACL.

[23]  Filippo Menczer,et al.  Online Human-Bot Interactions: Detection, Estimation, and Characterization , 2017, ICWSM.

[24]  Vincent A. Knight,et al.  Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack , 2014, Social Network Analysis and Mining.

[25]  Gianluca Stringhini,et al.  Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying , 2017, WWW.

[26]  Heather Skirton,et al.  Direct-to-consumer genomic testing: systematic review of the literature on user perspectives , 2012, European Journal of Human Genetics.

[27]  Melissa J. Krauss,et al.  "Hey Everyone, I'm Drunk." An Evaluation of Drinking-Related Twitter Chatter. , 2015, Journal of studies on alcohol and drugs.