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Ethical Challenges of
Using Social Media Data
In Research
Wasim Ahmed
(wahmed1@Sheffield.ac.uk)
@Was3210
A Bite Size Guide to Research in the 21ST Century
24th of January 2017
Sheffield, SCHARR
24/01/2017 © The University of Sheffield
2
About Me
• Third year PhD student (Faculty Scholarship)
in the Health Informatics Research Group Topic
examines infectious disease outbreaks on
Twitter
• Worked on a number of industry & academic
social media projects + forthcoming book
chapter on social media ethics with Prof. Peter
Bath and Dr Gianluca Demartini
24/01/2017 © The University of Sheffield
3
What is social media research?
• Involves the analysis of user generated content
from social media platforms e.g. of users,
keywords, and hashtags
• Twitter, Facebook, Instagram, LinkedIn, and
Tinder, are examples of platforms that
researchers may research
24/01/2017 © The University of Sheffield
4
Methods
In New Methodologies for Researching News Discussion on
Twitter Axel Bruns & Jean Burgess (2012) describe a number
of techniques of analysing Twitter data such as :
• Activity patterns over time i.e., time series analysis
• Analysing the content of posts
• Identifying key users
• Mapping key users and key actors overtime
• Advanced network analysis
24/01/2017 © The University of Sheffield
5
Massive Source of Data
• Use of social media and social networking websites
has increased with more households with access to
the Internet (OCED, 2016)
• Twitter reports having 316 million monthly active
users, there being 500 million tweets posted per
day, and 80% of active Twitter users use a mobile
device (About Twitter, n.d.).
24/01/2017 © The University of Sheffield
6
Twitter
• Tweets contain a wealth of data, and mining this
data can provide insight into public opinion and
behaviour responses in particular situations (Chew
and Eysenbach, 2010).
• Twitter is known to attract more research in
comparison to other social media platforms such as
Facebook.
24/01/2017 © The University of Sheffield
7
Ethical Issues Encountered
• PhD topic users Twitter as a primary source of
data – no interviews/surveys
• Non-traditional data for a social science PhD:
concerns over informed consent, and data
confidentiality
• Due to volume of tweets it is impossible to obtain
informed consent from all Twitter users
24/01/2017 © The University of Sheffield
8
Do I need ethical approval?
• Do I need ethics approval? As Twitter data is publically
available for everyone to see.
• Ethics approval is required as when data is analysed
things may emerge from the data that may draw
attention to groups, individuals, and trends etc.
• Beyond what would normally be expected from
engagement on these platforms
24/01/2017 © The University of Sheffield
9
Isn’t social media data public?
• It can be argued that social media data is
public as users know they are sharing
posts publically
• Counter argument is that not all users are
aware their posts are being used for
research purposes e.g., children
24/01/2017 © The University of Sheffield
10
Samaritans Radar App
• Samaritans Radar App designed to detect when
people on Twitter appeared suicidal – used an
algorithm to identify key words and phrases
which indicated distress
• Users who had singed up for the service would
receive an email alert if someone they followed
tweeted such statements
24/01/2017 © The University of Sheffield
11
Samaritans Radar
• Timeline of events
• 30th October 2014 - reassure users and mention Whitelist
• 31st October – mention testing and research input
• 2nd of November – Mention subscribers (3 thousand), and 20 thousand
Twitter mentions and trending for 2 days.
• 4th November – Offer reassurance and that they have listened to feedback
• 7th November – Apologise for any distress caused to the public due to the
range of information and opinion on the app. Suspend the app.
• 14 November – Further apologise for any stress offer number, email, and
website
• 10th of March 2015 – Confirm that the app has been permanently deleted
Launched 29 October 2014 and suspended on 7th November 2014
Ethics Application
• Ethics application covered:
• Potential participants: who are the Twitter users
being analysed: general public, organisations,
public figures, specific geographical locations, or
all?
• For Twitter, participants are those whom use
specific keywords & hashtags.
• Data confidentiality and data storage measures:
data is stored on secure laptops.
Ethics Application
• Consent:
• Ethics application made it possible to gain consent
to use tweets / user handles within publications
• Also possible to gain consent via a tweet if it was
not possible for participants to view a participant
information sheet and complete a consent form
• Electronic versions of participant information and
consent sheets, for example, via a Google form.
Ethics Application
• Majority of analysis is aggregate – identifying
themes / clusters of tweets
• Individual tweets and/ or user handles in
original form will never be published
• Data is analysed confidentially and never in
public
Case studies discussed
within NSMNSS network
• Facebook emotion study (Jan 2012) positive posts
from 155,000 Facebook users were removed
• Issues of using scrapped data sets e.g., Reddit
dataset containing every publically available Reddit
comment.
NatCen Report
• No fast answers but some good work already:
Report by NatCen - Research using Social Media;
Users’Views
• Findings: Participant’s views about research using
social media fell into three categories: scepticism,
acceptance and ambiguity.
NatCen Report
• Research using Social Media; Users’ Views
Users were concerned that:
• People behave differently online
• Views may be exaggerated
• Comments may be impulsive
• Profiles may be inaccurate
NatCen Report
• Research using Social Media; Users’ Views
Suggestions for improving research practices:
• Sampling and recruitment – be transparent in
purpose and aims in order to ethically recruit
participants to online and social media
research
NatCen Report
• Research using Social Media; Users’ Views
Suggestions for improving research practices:
• Consider how you will collect or generate data
– to improve representativeness of findings
and to understand privacy risks of platform
used in a study in order to uphold protection
NatCen Report
• Research using Social Media; Users’ Views
Suggestions for improving research practices:
• Take care in reporting results – to protect the
identify and reputation of participants,
maintain their trust in the value of the research
and contribute to the progression of the field
by being open and honest in reporting.
• Wisdom of the Crowd ‘#SocialEthics’ report
(Ipsos MORI and Demos/CASM)
• Findings: public awareness that information on
social media can be mined for research is low
compared to other uses of social media data
#SocialEthics report
Recommendations for Researchers:
• Researchers to work with developers – only
collect data that is required by the project, and
remove if not required
• Move to a culture of questioning whether the
data being collected is really necessary for a
research project
#SocialEthics report
• Examples of data minimization for a project may
include:
• Removing author’s name and @tag/userhandle
#SocialEthics report
• Examples of data minimization for a project may
include:
• Removing metadata that is not relevant for the
the purposes of a research project such as GPS
GPS data that might be attached to the social
media post
• Creating generalized groupings of data rather
rather than analysing specific data e.g., by cities
cities instead of exact street locations
#SocialEthics report
24/01/2017 © The University of Sheffield
25
Data Protection Act
• Section 33 of the DPA contains exceptions for
personal data used in research i.e., exemption
from principle 2 and 5
• Research is not defined in the DPA, but may
include research for commercial purposes
• Still need to comply with other DPA
principles
24/01/2017 © The University of Sheffield
26
New guidance from UREC
• University Research Ethics Policy – “In all cases
where social media data is being used for
research purposes, ethical approval must be
gained prior to collecting and analysing data.”
(The University of Sheffield’s Ethics Policy Governing
Research Involving Human Participants, Personal Data and
Human Tissue: version 7)
Conclusion
• Genuine ethical issues around researching
social media
• Academic researchers refer to best
practice guidelines when conducting social
media research
• Ethics application allows you to think
through ethical implications from the
beginning of the research process
24/01/2017 © The University of Sheffield
24/01/2017 © The University of Sheffield
28
Questions?
24/01/2017 © The University of Sheffield
29
References
About, (n.d.). About Twitter, Inc. [Online]. Retrieved from: https://about.twitter.com/company [Last Accessed 29/03/16].
OECD (2016). [Online]. Internet access (indicator). Available at: https://data.oecd.org/ict/internet-access.htm.doi:
10.1787/69c2b997-en [Last accessed 14/08/16].
Chew, C., & Eysenbach, G. (2010). Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1
outbreak. PLOS ONE, 5(11).
Beninger, A. K., Fry, A., Jago, N., Lepps, H., Nass, L., Silvester, H. (2014). Research using social media; users’
views. NatCen Social Research. [Online] Available at: http://www.natcen.ac.uk/media/282288/p0639-research-
using-social-media-report-final-190214.pdfnhttp://www.natcen.ac.uk.[Last accessed 28/11/15]
Ranco, G, Aleksovski D, Caldarelli G, Grčar M, Mozetič I. (2015). The Effects of Twitter Sentiment on Stock Price
Returns. PLoS ONE 10(9): e0138441.
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Ethical Challenges of Using Social Media Data In Research

  • 1. Ethical Challenges of Using Social Media Data In Research Wasim Ahmed (wahmed1@Sheffield.ac.uk) @Was3210 A Bite Size Guide to Research in the 21ST Century 24th of January 2017 Sheffield, SCHARR
  • 2. 24/01/2017 © The University of Sheffield 2 About Me • Third year PhD student (Faculty Scholarship) in the Health Informatics Research Group Topic examines infectious disease outbreaks on Twitter • Worked on a number of industry & academic social media projects + forthcoming book chapter on social media ethics with Prof. Peter Bath and Dr Gianluca Demartini
  • 3. 24/01/2017 © The University of Sheffield 3 What is social media research? • Involves the analysis of user generated content from social media platforms e.g. of users, keywords, and hashtags • Twitter, Facebook, Instagram, LinkedIn, and Tinder, are examples of platforms that researchers may research
  • 4. 24/01/2017 © The University of Sheffield 4 Methods In New Methodologies for Researching News Discussion on Twitter Axel Bruns & Jean Burgess (2012) describe a number of techniques of analysing Twitter data such as : • Activity patterns over time i.e., time series analysis • Analysing the content of posts • Identifying key users • Mapping key users and key actors overtime • Advanced network analysis
  • 5. 24/01/2017 © The University of Sheffield 5 Massive Source of Data • Use of social media and social networking websites has increased with more households with access to the Internet (OCED, 2016) • Twitter reports having 316 million monthly active users, there being 500 million tweets posted per day, and 80% of active Twitter users use a mobile device (About Twitter, n.d.).
  • 6. 24/01/2017 © The University of Sheffield 6 Twitter • Tweets contain a wealth of data, and mining this data can provide insight into public opinion and behaviour responses in particular situations (Chew and Eysenbach, 2010). • Twitter is known to attract more research in comparison to other social media platforms such as Facebook.
  • 7. 24/01/2017 © The University of Sheffield 7 Ethical Issues Encountered • PhD topic users Twitter as a primary source of data – no interviews/surveys • Non-traditional data for a social science PhD: concerns over informed consent, and data confidentiality • Due to volume of tweets it is impossible to obtain informed consent from all Twitter users
  • 8. 24/01/2017 © The University of Sheffield 8 Do I need ethical approval? • Do I need ethics approval? As Twitter data is publically available for everyone to see. • Ethics approval is required as when data is analysed things may emerge from the data that may draw attention to groups, individuals, and trends etc. • Beyond what would normally be expected from engagement on these platforms
  • 9. 24/01/2017 © The University of Sheffield 9 Isn’t social media data public? • It can be argued that social media data is public as users know they are sharing posts publically • Counter argument is that not all users are aware their posts are being used for research purposes e.g., children
  • 10. 24/01/2017 © The University of Sheffield 10 Samaritans Radar App • Samaritans Radar App designed to detect when people on Twitter appeared suicidal – used an algorithm to identify key words and phrases which indicated distress • Users who had singed up for the service would receive an email alert if someone they followed tweeted such statements
  • 11. 24/01/2017 © The University of Sheffield 11 Samaritans Radar • Timeline of events • 30th October 2014 - reassure users and mention Whitelist • 31st October – mention testing and research input • 2nd of November – Mention subscribers (3 thousand), and 20 thousand Twitter mentions and trending for 2 days. • 4th November – Offer reassurance and that they have listened to feedback • 7th November – Apologise for any distress caused to the public due to the range of information and opinion on the app. Suspend the app. • 14 November – Further apologise for any stress offer number, email, and website • 10th of March 2015 – Confirm that the app has been permanently deleted Launched 29 October 2014 and suspended on 7th November 2014
  • 12. Ethics Application • Ethics application covered: • Potential participants: who are the Twitter users being analysed: general public, organisations, public figures, specific geographical locations, or all? • For Twitter, participants are those whom use specific keywords & hashtags. • Data confidentiality and data storage measures: data is stored on secure laptops.
  • 13. Ethics Application • Consent: • Ethics application made it possible to gain consent to use tweets / user handles within publications • Also possible to gain consent via a tweet if it was not possible for participants to view a participant information sheet and complete a consent form • Electronic versions of participant information and consent sheets, for example, via a Google form.
  • 14. Ethics Application • Majority of analysis is aggregate – identifying themes / clusters of tweets • Individual tweets and/ or user handles in original form will never be published • Data is analysed confidentially and never in public
  • 15. Case studies discussed within NSMNSS network • Facebook emotion study (Jan 2012) positive posts from 155,000 Facebook users were removed • Issues of using scrapped data sets e.g., Reddit dataset containing every publically available Reddit comment.
  • 16. NatCen Report • No fast answers but some good work already: Report by NatCen - Research using Social Media; Users’Views • Findings: Participant’s views about research using social media fell into three categories: scepticism, acceptance and ambiguity.
  • 17. NatCen Report • Research using Social Media; Users’ Views Users were concerned that: • People behave differently online • Views may be exaggerated • Comments may be impulsive • Profiles may be inaccurate
  • 18. NatCen Report • Research using Social Media; Users’ Views Suggestions for improving research practices: • Sampling and recruitment – be transparent in purpose and aims in order to ethically recruit participants to online and social media research
  • 19. NatCen Report • Research using Social Media; Users’ Views Suggestions for improving research practices: • Consider how you will collect or generate data – to improve representativeness of findings and to understand privacy risks of platform used in a study in order to uphold protection
  • 20. NatCen Report • Research using Social Media; Users’ Views Suggestions for improving research practices: • Take care in reporting results – to protect the identify and reputation of participants, maintain their trust in the value of the research and contribute to the progression of the field by being open and honest in reporting.
  • 21. • Wisdom of the Crowd ‘#SocialEthics’ report (Ipsos MORI and Demos/CASM) • Findings: public awareness that information on social media can be mined for research is low compared to other uses of social media data #SocialEthics report
  • 22. Recommendations for Researchers: • Researchers to work with developers – only collect data that is required by the project, and remove if not required • Move to a culture of questioning whether the data being collected is really necessary for a research project #SocialEthics report
  • 23. • Examples of data minimization for a project may include: • Removing author’s name and @tag/userhandle #SocialEthics report
  • 24. • Examples of data minimization for a project may include: • Removing metadata that is not relevant for the the purposes of a research project such as GPS GPS data that might be attached to the social media post • Creating generalized groupings of data rather rather than analysing specific data e.g., by cities cities instead of exact street locations #SocialEthics report
  • 25. 24/01/2017 © The University of Sheffield 25 Data Protection Act • Section 33 of the DPA contains exceptions for personal data used in research i.e., exemption from principle 2 and 5 • Research is not defined in the DPA, but may include research for commercial purposes • Still need to comply with other DPA principles
  • 26. 24/01/2017 © The University of Sheffield 26 New guidance from UREC • University Research Ethics Policy – “In all cases where social media data is being used for research purposes, ethical approval must be gained prior to collecting and analysing data.” (The University of Sheffield’s Ethics Policy Governing Research Involving Human Participants, Personal Data and Human Tissue: version 7)
  • 27. Conclusion • Genuine ethical issues around researching social media • Academic researchers refer to best practice guidelines when conducting social media research • Ethics application allows you to think through ethical implications from the beginning of the research process 24/01/2017 © The University of Sheffield
  • 28. 24/01/2017 © The University of Sheffield 28 Questions?
  • 29. 24/01/2017 © The University of Sheffield 29 References About, (n.d.). About Twitter, Inc. [Online]. Retrieved from: https://about.twitter.com/company [Last Accessed 29/03/16]. OECD (2016). [Online]. Internet access (indicator). Available at: https://data.oecd.org/ict/internet-access.htm.doi: 10.1787/69c2b997-en [Last accessed 14/08/16]. Chew, C., & Eysenbach, G. (2010). Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak. PLOS ONE, 5(11). Beninger, A. K., Fry, A., Jago, N., Lepps, H., Nass, L., Silvester, H. (2014). Research using social media; users’ views. NatCen Social Research. [Online] Available at: http://www.natcen.ac.uk/media/282288/p0639-research- using-social-media-report-final-190214.pdfnhttp://www.natcen.ac.uk.[Last accessed 28/11/15] Ranco, G, Aleksovski D, Caldarelli G, Grčar M, Mozetič I. (2015). The Effects of Twitter Sentiment on Stock Price Returns. PLoS ONE 10(9): e0138441.