We’re excited to share the topic and questions for this week’s #HITsm chat happening Friday, 2/12 at Noon ET (9 AM PT). This week’s chat will be hosted by Janice McCallum (@janicemccallum) on the topic “Detecting and Avoiding Misinformation and Disinformation“.
The COVID-19 pandemic has shined a spotlight on the way misleading and outright false information can be dangerous to physical and mental health, as well as to the health of society.
Finding trustworthy sources for medical information has never been easy. For non-professionals without a medical degree or health literacy training, knowing whether to believe information found on the Web–or passed along from a friend or relative via social media–requires effort and a basic understanding of media literacy.
Since the COVID-19 pandemic began, Janice has been studying recent research on managing misinformation and disinformation. She will share advice and available resources in this week’s chat.
Join us for this week’s #HITsm chat where we’ll discuss the following questions.
Topics for this week’s #HITsm Chat:
T1: “Know the source.” Relying on reputable sources to avoid believing or spreading misinformation is a key tenet of information literacy. Can you think of examples where medical information was suspect because of its source? #HITsm
T2: Misinformation is defined as: “false information that is spread, regardless of whether there is intent to mislead.” Disinformation is defined as: “deliberately misleading or biased information; manipulated narrative or facts; propaganda.” Which type do you think is more dangerous? Why? #HITsm
T3: Headlines are generally designed to attract attention and encourage click-throughs. Does this mean that social media platforms are destined to thrive on misinformation and disinformation? Can you think of a better business model that wouldn’t incentivize click-bait? #HITsm
T4: Since the big social media companies are in the spotlight for spreading mis- and disinformation, they are testing methods that will reduce misinformation. For example, one Twitter test asked if users would like to read the full page linked to a post, before retweeting it. Do you think this warning would be helpful? Why? #HITsm
T5: Twitter recently introduced Birdwatch (in pilot), which allows users to add notes to questionable tweets: https://blog.twitter.com/en_us/topics/product/2021/introducing-birdwatch-a-community-based-approach-to-misinformation.html
Has anyone tried this yet? #HITsm
Bonus: The focus of this chat has been on information in general. But everything that applies to textual information applies to data, too. E.g., know the source and its bias and delve beyond the headline (or data label) to understand how the data were sourced and calculated. What examples can you think of where results from a research study were amplified before they were verified through further research? #HITsm
Upcoming #HITsm Chat Schedule
2/19 – Implementation of Technology for Care Coordination
Hosted by Neelam Sharma, RHIT (@Nee2Sha)
2/26 – TBD
Hosted by Mandi Bishop (@MandiBPro)
3/5 – TBD
Hosted by TBD
3/19 – TBD
Hosted by TBD
We look forward to learning from the #HITsm community! As always, let us know if you’d like to host a future #HITsm chat or if you know someone you think we should invite to host.
If you’re searching for the latest #HITsm chat, you can always find the latest #HITsm chat and schedule of chats here.