Social Media Data Use Needs Tighter Research Controls

Information shared on social media is being regularly used in research projects without users' consent, a study suggests. Experts have called for tighter control of the practice, with fresh guidelines needed to ensure personal data is being used appropriately. Researchers at the University of Edinburgh say ethics frameworks around consent, privacy and ownership for such studies are not keeping pace with technological developments.

The plea comes as more and more social media data is used by researchers to reveal valuable insights into our behaviours, feelings and opinions.

Advances in tools to draw patterns from large datasets have opened the door to research projects that mine this deep seam of information.

Such techniques are, for example, being used to probe whether people's social media updates can predict the onset of mental health problems.

The authors found that, out of 13 sets of ethics guidelines developed or endorsed by Research Councils UK, only four explicitly mentioned the use of social media data in research.

They also analysed 156 published health studies that involved social media data and discovered that less than a third reported having made any ethical consideration of the use of personal information.

Only two of the nine studies from UK institutions made reference to RCUK recommended guidelines.

The research is published in the journal Research Ethics.

Dr Claudia Pagliari, of the University of Edinburgh's Usher Institute, said: "Our study highlights a significant gap in UK guidance on mining social media data for research purposes. Funding bodies, learned societies, research organisations and journals - in addition to the researchers themselves - all have a role to play in ensuring such research is carried out to the highest ethical standards."

"Ethics is about more than privacy in this context. Researchers may be using information that has been willingly shared in the public domain but this doesn't give them carte blanche to do as they please. Asking permission to use people's social media postings is courteous, although this may be impossible in very large studies. Treating personal information with confidentiality and respect, and avoiding its misuse for unethical purposes, are essential.

"Having good interdisciplinary guidelines and clear expectations for how these should be applied will help to improve practices."

Joanna Taylor, Claudia Pagliari.
Mining social media data: How are research sponsors and researchers addressing the ethical challenges?
Research Ethics. doi: 10.1177/1747016117738559.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...