IR 16 conference workshop: Digital Methods in Internet Research
Hi all, We'd like to give you some more details about the full-day preconference workshop "Digital Methods in Internet Research" at IR16. The workshop is organised by Axel Bruns, Jean Burgess, Tim Highfield, Ben Light, Patrik Wikstrom (all at QUT Digital Media Research Centre) and Tama Leaver (Curtin University). It offers the participants hands-on experience of a number of cutting-edge data-driven research methods and their applications in media, cultural and internet studies. The workshop is structured into the following four sessions: 1 Data visualisation: Especially when working with large social media datasets, data visualisation is now an indispensable part of the scholarly research and publication process. This data visualisation session will focus on a number of emerging standard tools for large-scale analysis, including Tableau for processing and visualising large datasets. 2 Agent Based Modelling: Many phenomena in our field are inherently complex and dynamic: They change over time; everything is connected to everything else; they have "tipping points" or "virtuous" (or "vicious") circles; and so on. Our traditional methods are often lacking in the analysis of such systems. This session introduces agent-based modelling (ABM), which is a method that has proven to be a useful approach for unpacking dynamic complexity. 3 Software and app studies: In order to study the social media platforms and software applications that populate the digital media environment, we need to take into account not only content and user practices, but also socio-technical features, interface design elements, and business models - but doing this empirically is a challenge. In this session, you will be introduced to a novel approach to critical and qualitative digital methods: the App Walkthrough, which borrows from vernacular digital media culture, User Experience research and STS to undertake an 'ethnography of affordances', as part of a broader software and app studies approach to mobile dating and hook-up applications. 4 Instagrammatics - analysing visual social media: This session's exploration of visual social media uses Instagram as a focus but with applications beyond this specific platform. The session provides a hands-on means for approaching visual social media, giving participants the opportunity to interrogate what they might do with such data and what visual media and methods might contribute to research. You can sign up for this workshop when you register for the conference. Hope to see you there, and let us know if you have any questions about format or content! Axel, Ben, Jean, Patrik, Peta, Tama & Tim (patrik.wikstrom@qut.edu.au<mailto:patrik.wikstrom@qut.edu.au>) ----------------------------------------------------------- Associate Professor Patrik Wikström | Principal Research Fellow & Chief Investigator | Digital Media Research Centre | Creative Industries Faculty | Queensland University of Technology | Z1-515 | Musk Ave | Kelvin Grove QLD 4059 | Australia | e: patrik.wikstrom@qut.edu.au<mailto:patrik.wikstrom@qut.edu.au> | w: http://www.qut.edu.au/research/dmrc | CRICOS 00213J
Hi all, I've recently launched an online survey to ask people which conditions they would like to have met before they would want to consent to having their social media data used for research purposes (see link below). Does anyone have any good suggestions how I can best reach an audience that represent a proper cross-section of the internet using population? Mechanical Turk won't be an option since for the purposes of this survey Turkers would not be a representative population sample. Neither is the student population. Any ideas? Thanks, Ansgar Dr. Ansgar Koene CaSMa - Citizen centric approaches to social media analysis Horizon Digital Economy Research Institute University of Nottingham https://sites.google.com/site/arkoene/ http://casma.wp.horizon.ac.uk/ http://www.horizon.ac.uk/ ________________________________________ This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.
[sorry for the re-post, forgot the link to the survey last time] Hi all, I've recently launched an online survey to ask people which conditions they would like to have met before they would want to consent to having their social media data used for research purposes (see link below). Does anyone have any good suggestions how I can best reach an audience that represent a proper cross-section of the internet using population? Mechanical Turk won't be an option since for the purposes of this survey Turkers would not be a representative population sample. Neither is the student population. Any ideas? Thanks, Ansgar Survey link: https://nottingham.onlinesurveys.ac.uk/conditions-for-consent-to-analyse-soc... Dr. Ansgar Koene CaSMa - Citizen centric approaches to social media analysis Horizon Digital Economy Research Institute University of Nottingham https://sites.google.com/site/arkoene/ http://casma.wp.horizon.ac.uk/ http://www.horizon.ac.uk/ ________________________________________ This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.
Hello Ansgar: Considering the size of social media users (Facebook alone has more than a billion users), it is virtually impossible to get a true representative sample (i.e., everyone is given an equal chance of selection). One way to do is to narrow down your research question and randomly draw your sample from a specific user group in a particular social media site (say Facebook or LinkedIn user groups) or multiple groups in multiple sites (only if you could treat the data separately). This way you may be able to achieve some degree of randomization. Also, controlling for the type of social media site is important, as each social media site has a different privacy policy, nature and amount of personal data stored, and shared. There are other host of issues that could affect the results, such as, user age, gender, awareness, experience, personality, etc. I hope other list members can provide more insights. Thank you, On Sat, Jun 20, 2015 at 5:32 AM, Ansgar Koene <Ansgar.Koene@nottingham.ac.uk
wrote:
[sorry for the re-post, forgot the link to the survey last time]
Hi all, I've recently launched an online survey to ask people which conditions they would like to have met before they would want to consent to having their social media data used for research purposes (see link below). Does anyone have any good suggestions how I can best reach an audience that represent a proper cross-section of the internet using population? Mechanical Turk won't be an option since for the purposes of this survey Turkers would not be a representative population sample. Neither is the student population.
Any ideas?
Thanks, Ansgar
Survey link: https://nottingham.onlinesurveys.ac.uk/conditions-for-consent-to-analyse-soc...
Dr. Ansgar Koene CaSMa - Citizen centric approaches to social media analysis Horizon Digital Economy Research Institute University of Nottingham arkoene <https://sites.google.com/site/arkoene/> http://casma.wp.horizon.ac.uk/ http://www.horizon.ac.uk/ ________________________________________
This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it.
Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham.
This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.
_______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
-- Gohar Feroz Khan, PhD Assistant Professor Korea University of Technology & Education (KoreaTECH) 1600 Chungjol-ro Byungcheon-myun Cheonan city, 330-708, South Korea Office: 82-41-560-1415; Mobile: +82-10-5510-8071 email: gohar.feroz@kut.ac.kr ------------------------------------------------------- Director Centre for Social Technologies <http://centreforsocialtech.com> Associate Editor Journal of Contemporary Eastern Asia <http://eastasia.yu.ac.kr/> I blog here <http://gfkhan.wordpress.com/dr-khan/> --------------------------------------------------------------------- Stay tuned for my new book on 7 Layers of s <http://7layersanalytics.com/introduction-to-the-book/>ocial media analytics to be available soon... <http://7layersanalytics.com/introduction-to-the-book/>.
It's true that both how you access the data from one of these sites and which site and what it's exact openness to researchers, all affect how you can randomize. I think this is true. An early ACM paper on facebook for example seemed to use the facebook search system to access the profile data they used and they accessed first year students at a school. They drew their data from the student's profiles, and wrote about security settings they found the students had set. Who would think that the facebook search tool is a research tool? May be that's too critical of me. Peter Timusk I do not speak for my employer or organizations I volunteer for unless otherwise noted. -----Original Message----- From: Air-L [mailto:air-l-bounces@listserv.aoir.org] On Behalf Of Gohar F. Khan Sent: June-22-15 11:48 PM To: Ansgar Koene Cc: air-l@listserv.aoir.org Subject: [Air-L] Online survey about consent to access someone's social media data Hello Ansgar: Considering the size of social media users (Facebook alone has more than a billion users), it is virtually impossible to get a true representative sample (i.e., everyone is given an equal chance of selection). One way to do is to narrow down your research question and randomly draw your sample from a specific user group in a particular social media site (say Facebook or LinkedIn user groups) or multiple groups in multiple sites (only if you could treat the data separately). This way you may be able to achieve some degree of randomization. Also, controlling for the type of social media site is important, as each social media site has a different privacy policy, nature and amount of personal data stored, and shared. There are other host of issues that could affect the results, such as, user age, gender, awareness, experience, personality, etc. I hope other list members can provide more insights. Thank you, On Sat, Jun 20, 2015 at 5:32 AM, Ansgar Koene <Ansgar.Koene@nottingham.ac.uk
wrote:
[sorry for the re-post, forgot the link to the survey last time]
Hi all, I've recently launched an online survey to ask people which conditions they would like to have met before they would want to consent to having their social media data used for research purposes (see link below). Does anyone have any good suggestions how I can best reach an audience that represent a proper cross-section of the internet using population? Mechanical Turk won't be an option since for the purposes of this survey Turkers would not be a representative population sample. Neither is the student population.
Any ideas?
Thanks, Ansgar
Survey link: https://nottingham.onlinesurveys.ac.uk/conditions-for-consent-to-analy se-social-media-data
Dr. Ansgar Koene CaSMa - Citizen centric approaches to social media analysis Horizon Digital Economy Research Institute University of Nottingham arkoene <https://sites.google.com/site/arkoene/> http://casma.wp.horizon.ac.uk/ http://www.horizon.ac.uk/ ________________________________________
This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it.
Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham.
This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.
_______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
-- Gohar Feroz Khan, PhD Assistant Professor Korea University of Technology & Education (KoreaTECH) 1600 Chungjol-ro Byungcheon-myun Cheonan city, 330-708, South Korea Office: 82-41-560-1415; Mobile: +82-10-5510-8071 email: gohar.feroz@kut.ac.kr ------------------------------------------------------- Director Centre for Social Technologies <http://centreforsocialtech.com> Associate Editor Journal of Contemporary Eastern Asia <http://eastasia.yu.ac.kr/> I blog here <http://gfkhan.wordpress.com/dr-khan/> --------------------------------------------------------------------- Stay tuned for my new book on 7 Layers of s <http://7layersanalytics.com/introduction-to-the-book/>ocial media analytics to be available soon... <http://7layersanalytics.com/introduction-to-the-book/>. _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/
participants (4)
-
Ansgar Koene -
Gohar F. Khan -
Patrik Wikstrom -
Peter Timusk