Posting on Social Media During Flu Season…#WTFlu?!?

Social media and flu

Social media and fluI’m excited to share that I’m working with Clorox as a paid spokesperson for their #WTFlu program this flu season.

We all know that logging onto social media sites has become a part of our daily routine – as much of a ritual as brushing our teeth every morning. Social media has given us a space to share and vent about anything and everything – from what we had for dinner to top news stories of the day. And with the most severe flu season we’ve seen in years, posts from those suffering from the flu around the country flooded many of our newsfeeds.

In fact, a new nationwide survey* on social media behavior during flu season, sponsored by The Clorox Company, revealed that:

  • Feeling sick doesn’t discourage people from logging onto social media sites – they visit them just as frequently if not more than when they are feeling well.
  • The most popular reason for people to log on when sick? 83.2% said they visited social media sites for entertainment. Somewhat surprisingly, only 9.6% were looking for sympathy!
  • Seeing friends post about being sick motivates people to step up flu prevention behaviors, like washing their hands more frequently (66.4%) and disinfecting germ hot spots (54.9 %).

Are you or a friend at home with a cold or flu and in need of a little sick day entertainment? Check out Clorox’s #WTFlu Tumblr page for some flu-related humor and prevention tips. You can also join the conversation by sharing your own flu mishaps on Twitter with the #WTFlu hashtag.

All opinions and tips are my own. 

*About the Survey

These results are based on a survey conducted by Ipsos, a leading market research firm. The sample consisted of more than 1,000 men and women between the ages of 18 and 29.  The questions were part of an online omnibus survey conducted by Ipsos among a nationally representative sample. All interviewing was completed between November 26 and December 2, 2012.  For this study, the margin of error based on 1,000 responses is +/- 3.1% at the 95% level of confidence.

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