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Research into social media practices and social media practices for research http://hazelhall.org http://slideshare.net/hazelhall @hazelh Presentation delivered at the DeGroote School of Business, McMaster University, Hamilton, Canada 14 th August 2017 Dr Hazel Hall, Professor of Social Informatics

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Research into social media practices and

social media practices for research

http://hazelhall.org

http://slideshare.net/hazelhall

@hazelh

Presentation delivered at the DeGroote School of Business,

McMaster University, Hamilton, Canada

14th August 2017

Dr Hazel Hall, Professor of Social Informatics

http://hazelhall.org

Slides on SlideShare at

http://slideshare.net/hazelhall

@hazelh

Mirifici Logarithmorum Canonis

Descriptio (1614)

John Napier 1550-1617

• 7 Academic staff (teaching and research)

• 1 Researcher

• 8 Research students

• 1 Emeritus professor

• 1 Visiting professor (Brian Detlor)

• Several associates

https://hazelhall.org/centre-for-social-informatics/

• 7 Academic staff (teaching and research)

• 1 Researcher

• 8 Research students

• 1 Emeritus professor

• 1 Visiting professor (Brian Detlor)

• Several associates

• Democratic digital engagement

• eGovernment

• Information policy

• Information seeking behaviour and use

• Knowledge management

• The Information Society

• Online communities

• Open data and open government

https://hazelhall.org/centre-for-social-informatics/

Presentation themes

1. CSI research into information behaviours and

social media use

• Historic examples

• Current work

2. Building and maintaining profiles on online

platforms for academic work purposes

Research into social media practices and

social media practices for research

Prior research on information behaviours

and social media use

1. How ‘can’ social media platforms promote

reflective learning?

2. To what extent is online information sharing

socially motivated?

3. What are the risks and opportunities of social

media adoption for collaborative work in business

environments?

Reflective learning and socially motivated

online information sharing (1 case study)

Cohort Site for reflection Research output

2003/4 Closed learning logs

2004/5 Blog environment internal to

module developed by one of

the module tutors

Hall & Davison (2007): blogs

for peer learning and support

(905 comments on 79 blogs)2005/6

2006/7 ‘Blog’ environment internal to

Napier University supported

by WebCT Portfolio function

Hall & Widen-Wulff (2008):

socially motivated online

information sharing2007/8

Reflective learning and socially motivated

online information sharing (1 case study)

Cohort Site for reflection Research output

2003/4 Closed learning logs

2004/5 Blog environment internal to

module developed by one of

the module tutors

Hall & Davison (2007): blogs

for peer learning and support

(905 comments on 79 blogs)2005/6

2006/7 ‘Blog’ environment internal to

Napier University supported

by WebCT Portfolio function

Hall & Widen-Wulff (2008):

socially motivated online

information sharing2007/8

Hall, H. & Davison, B. (2007). Social software as support in hybrid

learning environments: the value of the blog as a tool for reflective

learning and peer support. Library and Information Science

Research, 29(2), 163-187. (DOI 10.1016/j.lisr.2007.04.007.) Full text

available from publisher with subscription access Full text of

accepted manuscript available from the Edinburgh Napier repository

Hall, H., & Widen-Wulff, G. (2008). Social exchange, social capital

and information sharing in online environments: lessons from three

case studies. Studia Humaniora Ouluensia, 8, 73-86. Full text

available from the Edinburgh Napier repository

Comment analysis: social media platforms

‘can’ promote reflective learning

• … to a certain extent: one fifth demonstrated

reflection

• But lack of debate

• Bias towards agreement: a quarter began ‘I agree’

(or similar)

• Prior claims in literature exaggerated

• ‘Can’ does not mean ‘will’

• Reliance on anecdote

http://www.napier.ac.uk/~/media/worktribe/output-

238428/halldavisonblogsdraftpdf.pdf

Online information sharing is socially

motivated (3 case studies)

• Information sharing online takes place within

exchange economies

• Gift economies and generalised exchange ‘work’

in online environment when contacts have

established offline relationships

• Soft rewards and social infrastructure are valued

more than other incentives

• In-group privilege limits sharing with outsiders

http://www.napier.ac.uk/~/media/worktribe/

output-233352/hallwidenwulff20081pdf.pdf

Risks and opportunities of social media

adoption for collaborative work (2008)

• Survey, focus group & interview: 96 contributions

• Sense that project came ‘too early’

• ‘Don’t know’ and neutral survey responses

• Two thirds survey respondents indicated impacts of

adoption yet to be felt, interviewee caution

• Enthusiasm for social media adoption

• Poor implementation viewed as biggest risk

• Potential value of microblogging identified

http://www.napier.ac.uk/~/media/worktribe/output-

967091/opportunity-and-risk-in-social-computing-

environments.pdf

Current work on information behaviours

and social media use

1. Reputation management in a digital world: the role of online

information in the management and evaluation of personal

reputations - Frances Ryan

2. The impact of networking supported by social media on

career management skills – John Mowbray

3. Easier, faster, better: social media as facilitators of tacit

knowledge sharing between employees within public sector

organisations – Iris Buunk

http://www.francesryanphd.com/

• People rarely consider links between online

information sharing and personal reputation yet…

• … they present different aspects of their persona

for different audiences

• …they share different types of information on

different platforms

• … they practise self-censorship and ‘manage’

their connections

Online information and personal

reputation: key preliminary findings

• People rarely consider links between online

information sharing and personal reputation yet…

• … they present different aspects of their persona

for different audiences

• …they share different types of information on

different platforms

• … they practise self-censorship and ‘manage’

their connections

Online information and personal

reputation: key preliminary findings

How does this articulate with

‘traditional’ means and

measures of reputation

management and evaluation

as studied extensively

elsewhere in Information

Science (bibliometrics)?

Online information and personal

reputation: resourcesRyan, F., Cruickshank, P., Hall, H. & Lawson, A. (2017). Blurred reputations: managing

professional and private online. Paper presented at Information: interactions and impact 2017,

Aberdeen, 27-30 June 2017.[Abstract available from the Edinburgh Napier repository; slides

available from SlideShare.]

Ryan, F., Cruickshank, P., Hall, H., & Lawson, A. (2016). Managing and evaluating personal

reputations on the basis of information shared on social media: a Generation X perspective.

Information Research, 21(4).

Ryan, F., Cruickshank, P., Hall, H., & Lawson, A. (2016). Personal online reputation: the

development of an approach to investigate how personal reputation is evaluated and managed in

online environments. In: Proceedings of the 2nd International Data Information and Information

Management Conference (IDIMC). (pp. 98-108). Loughborough: LISU.

Ryan, F., Cruickshank, P., Hall, H. , & Lawson, A. (2015). Assessing the available and accessible

evidence: How personal reputations are determined and managed online. Paper presented at

Information: interactions and impact 2015, Aberdeen, 23-26 June 2015. [Abstract available; slides

available on SlideShare]

https://johnmowbray.org/

Plus earlier analysis of secondary data (16-

21 year-olds) from Understanding society:

the UK household longitudinal study

Networking & career

management skills: key

preliminary findings

• SNS membership is more prevalent amongst the

young employed than the young unemployed

• Females are proportionately higher users of SNS

than males (and also more likely to be in work)

• Social media have a profound informational

impact when appropriated for networking

• Aid development/use of weak ties

• Provide access to high levels of (informational) social

capital

Networking & career

management skills: key

preliminary findings

• SNS membership is more prevalent amongst the

young employed than the young unemployed

• Females are proportionately higher users of SNS

than males (and also more likely to be in work)

• Social media have a profound informational

impact when appropriated for networking

• Aid development/use of weak ties

• Provide access to high levels of (informational) social

capital

How can this work develop the

theoretical perspectives of

Wilson’s general model of

information behaviour?

Social networking and job

seeking: resourcesMowbray, J., Hall, H., Raeside, R. & Robertson, P. (2017). Job search information behaviours:

an ego-net study of networking and social media use amongst young jobseekers. Paper

presented at Information: interactions and impact 2017, Aberdeen, 27-30 June 2017. Abstract

available from the Edinburgh Napier repository; slides available from SlideShare.]

Mowbray, J., Hall, H., Raeside, R., Robertson, P. (2017). The role of networking and social

media tools during job search: an information behaviour perspective. Information Research,

22(1).

Mowbray, J., Raeside, R., Hall, H. & Robertson, P. (2016). Social networking sites and

employment status: an investigation based on Understanding Society data. In: Proceedings of

the 2nd International Data Information and Information Management Conference (IDIMC). (pp.

75-85). Loughborough: LISU.

Mowbray, J. & Hall, H., Raeside, R. & Robertson, P. (2015). Could social networking online help

NEET young people gain employment? Paper presented at Information: interactions and impact

2015, Aberdeen, 23-26 June 2015. [Abstract available; slides available on SlideShare.]

http://www.napier.ac.uk/people/iris-buunk

Data collection

• Online survey of members of an online social

platform for public sector workers

• Interviews with 20 self-declared heavy social

media users amongst 1062 survey respondents

• Online social platforms offer affordances that

increase 2 types of network awareness

• ‘knowledge awareness’ – of others’ skills/expertise

• ‘ambient/peripheral awareness’ – of others’ activities

• Tacit knowledge of others thus quickly rendered

visible and accessible with opportunities for

• Enlarging networks and creating new sub-networks

• Developing new relationships, e.g. to learn from

others, reduce duplication of effort

Social media and tacit knowledge

sharing: key preliminary findings

• Online social platforms offer affordances that

increase 2 types of network awareness

• ‘knowledge awareness’ – of others’ skills/expertise

• ‘ambient/peripheral awareness’ – of others’ activities

• Tacit knowledge of others thus quickly rendered

visible and accessible with opportunities for

• Enlarging networks and creating new sub-networks

• Developing new relationships, e.g. to learn from

others, reduce duplication of effort

Social media and tacit knowledge

sharing: key preliminary findings

How may this work prompt

reconsideration of the role of

technology in tacit knowledge

sharing, e.g. Nonaka’s (20th

century) concept of Ba?

Social media and tacit

knowledge sharing: resources

Buunk, I., Hall, H. & Smith, C.F. (2017 in press). Skills in sight: how social media

affordances increase network awareness. In: Proceedings of the 18th European

Conference on Knowledge Management (ECKM) 2017. Reading: Academic

Conferences Ltd. [Abstract available from the Edinburgh Napier repository.]

Buunk, I., Hall, H. & Smith, C.F. (2017). Tacit knowledge sharing in online

environments: locating “Ba” within a platform for public sector professionals.

Paper presented at Information: interactions and impact 2017, Aberdeen, 27-30

June 2017. [Abstract available from the Edinburgh Napier repository; slides

available from SlideShare.]

Buunk, I., Hall, H., & Smith, C.F. (2017). Tacit knowledge sharing: the

determination of a methodological approach to explore the intangible.

Information Research, 22(1).

Research into social media practices and

social media practices for research

Established measures of academic impact

Bibliometric indicators measure ‘academic’ impact

of individuals’ output

• Quantity and quality of publications

• Quantity and quality of citations to those publications

• Codified in citation databases

Alternative impact measures

Altmetrics assess the impact of individual output

using various criteria across a range of platforms

• recommended by others

• praised by opinion leaders

• mentioned in social media

• etc.

• downloaded

• acknowledged

• included in syllabi

• quoted in the press

• cited in policy documents

56 indicators of impact

Center for the Study of Interdisciplinarity (CSID), University of

North Texas (2011)

files.figshare.com/1067961/56_impacts_preprint_5_26_13.pdf

• Judgements of esteem rely on more than

“mere” publication record.

• Visibility is becoming increasingly important

to building a personal profile and the

reputational benefits that this brings:

• Collaboration approaches

• Speaking invitations

• Committee service

http://hazelhall.org/2013/07/14/altmetrics-achieving-and-

measuring-success-in-communicating-research-in-the-digital-

age

• Peer-reviewed papers in international journals

• Peer-reviewed conference papers at international

conferences

• Peer-reviewed abstracts for papers at international

conferences

• Peer-reviewed papers for practitioner journals

• Practitioner/trade press articles

• Keynotes and invited papers

• Unpublished conference papers

• Other presentations for external audiences: international

• Other presentations for external audiences: UK

• Research reports

Codified and uncodified output

Dissemination/engagement activities and

impact: relationship

RiLIES project recommendations

• Ensure your project has high level

support

• Include target research audience(s) in

the execution of the research

• Take into account target audience(s)

preferences for consuming research

output

• Present output in a way that is

accessible to the target audience

http://lisresearchcoalition.files.wordpress.com/2012/02/rili

es1_report.pdf

Dissemination/engagement activities and

impact: relationship

RiLIES project recommendations

• Ensure your project has high level

support

• Include target research audience(s) in

the execution of the research

• Take into account target audience(s)

preferences for consuming research

output

• Present output in a way that is

accessible to the target audience

http://lisresearchcoalition.files.wordpress.com/2012/02/rili

es1_report.pdf

Much of this is about how the work is

disseminated, in particular:

• output format (content creation)

• accessibility (sharing)

- and this is where social media come in…

There are lots of places ‘to be’

• (Local profiles)

• CV services

• e.g. LinkedIn

• Resource sharing sites

• e.g. Flickr, Pinterest,

SlideShare,

SoundCloud, Vimeo,

YouTube

• ID services

• e.g. Orcid,

ResearcherID

• Profile services

• e.g. Academia.edu, Google

Scholar, ResearchGate

• Blogging and microblogging

platforms

• e.g. CoverItLive, Medium, Quora,

The Conversation, Tumblr, Twitter

WordPress

• Impact measurement tools

• e.g. Klout

• Collaboration sites

• e.g. Mendeley

• Social networking sites

• e.g. Facebook, Lanyrd

So where should you be?

For wide dissemination of publications

• ID services (e.g. Orcid, ResearcherID) and research profile

services (e.g. Academia.edu, Google Scholar, ResearchGate)

For wide dissemination of presentations

• Resource sharing sites (e.g. SlideShare, SoundCloud, Vimeo,

YouTube)

If you are interested in tracking your impact

• Impact measurement tools (e.g. Klout)

If you want to keep up to date/others updated

• Twitter

-

So where should you be: essentials?

1. Your CV on LinkedIn ✓

So where should you be: essentials?

1. Your CV on LinkedIn ✓

2. Your academic identity

registered on ID services

(e.g. Orcid, ResearcherID) ✓

So where should you be: essentials?

1. Your CV on LinkedIn ✓

2. Your academic identity

registered on ID services

(e.g. Orcid, ResearcherID) ✓

3. Your publication track record

on profile services (e.g.

Academia.edu, Google

Scholar, ResearchGate) ✓

Where is Hazel?

https://hazelhall.org/profiles-on-other-platforms/

Should you set up a personal blog?

1. Do you want/need a full “independent” online profile?

2. Do you enjoy writing?

3. Are you prepared to give up your free time to blog

regularly?

4. What will be your communications strategy?

• What will you call your blog?

• What will it cover?

• How often will you post to it?

• How will you direct traffic to it?

Blog alternatives

• In-house news platform

Blog alternatives

• In-house news platform

• Update function on LinkedIn

Blog alternatives

• In-house news platform

• Update function on LinkedIn

• Ad hoc blogging on Medium,

guest contributions to The

Conversation

Is this kind of engagement with social

media worth it?

https://www.tomgauld.com/

http://blogs.lse.ac.uk/impactofsocialsciences/201

2/04/19/blog-tweeting-papers-worth-it/

Yes: to widen dissemination

Yes: for career development

Contact Hazel Hall

http://hazelhall.org

http://slideshare.net/hazelhall

@hazelh

[email protected]

+44 0131 455 2760

Research into social media practices and

social media practices for research

http://hazelhall.org

http://slideshare.net/hazelhall

@hazelh

Presentation delivered at the DeGroote Business School,

McMaster University, Hamilton, Canada

14th August 2017

Dr Hazel Hall, Professor of Social Informatics