Anti-social texting study: New methods confirm old theory
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The methodology for study released this past week about teens and texting was new, but the findings don鈥檛 seem to break much new ground 鈥 unless the news media had picked up on what the researchers didn鈥檛 highlight. More on the reporting in a minute; first the study, published by researchers at University of Texas, Dallas, in the聽.
Past studies of teens鈥 鈥渢exting behaviors鈥 relied on self-reporting. This one actually looked at the texts. The researchers gave 172 9th-graders (almost half and half boys and girls) around the country Blackberries and text-messaging service for a school year 鈥渨ith the understanding that their texts would be monitored,鈥澛. 鈥淭he participants were rated before and after the school year for rule breaking and aggressive behavior by parents, teachers and in self reports.鈥 At the end of the school year, four days of text messages per student were reviewed 鈥渇or discussion of antisocial activities.鈥
鈥淏asically,鈥 said lead author Samuel Ehrenreich, they were trying to answer the question, 鈥渄oes talking about bad behavior predict bad behavior?鈥 And what they found was that 鈥 although less than 2 percent of all the texts the researchers examined were anti-social 鈥 the anti-social texts 鈥減redicted increases鈥 in 鈥渞ule-breaking behavior鈥 and 鈥渁ggressive behavior.鈥
This hardly seems like news. The author himself likens texting to talking. So if one were to examine the tiny proportion of spoken communication that鈥檚 anti-social, would one be surprised if it predicted anti-social behavior? What鈥檚 interesting, here, is that the researchers seem to attribute influence not just to the content of the communication they examined but to the medium as well.
Ehrenreich referred to texting鈥檚 鈥渦nique characteristics that make it all the more powerful,鈥 providing 鈥渁 new opportunity for peer influence,鈥 according to聽. This at best muddies the conclusion. Is it based on the evidence gathered 鈥 the influence of peers expressed in the content 鈥 or speculation about the influence of the technology itself?
Fortunately, 鈥渢he study鈥檚 collection of messages also found that texting could be a positive force for adolescents,鈥 LiveScience reports, referring to the overwhelming majority of texts (98+ percent) that contained 鈥減ositive, meaningful communication,鈥 as Ehrenreich described it.
But that wasn鈥檛 news, that the authors were able to use only about 2 percent of all the collected texts to map them to reports of anti-social offline behavior. It didn鈥檛 show up in coverage at , where the headline read: 鈥淏eware The Texting: Text Messages Make It Easier For Kids to Misbehave.鈥 Other headlines about the study were 鈥淭eens鈥 Texts Predict Bad Behavior鈥 and 鈥淒elinquent Behavior May Arise from Anti-Social Texting.鈥 At least the latter qualified 鈥渢exting鈥 with 鈥渁nti-social.鈥
Texting among adults is mainstream, the Pew Internet Project reported three years ago, so why focus research about texting and anti-social behavior particularly on young people? And if researchers must, then what does this study add to the public discussion about youth and social media when research has already found that a young person鈥檚 psychosocial makeup and home and school environments are better predictors of online (and most probably on-phone) risk than any technology he or she uses? [That was in the comprehensive聽聽done by the Internet Safety Technical Task Force at Harvard's Berkman Center for Internet & Society in 2008.] Maybe we needed the phone part confirmed? Anyway, because of all the hyperbole in media coverage of youth and technology and to be fair to youth, research that focuses on young people鈥檚 deviant behavior in media as well as the coverage of it need a critical eye.
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