Presentation by Chris James Carter at the Horizon Digital Economy Research Conference, 11th June 2013.
Chris outlined the progress he had made in his PhD to date, with a particular focus on the development of a new scale (the Concern for Professional Image through Social Media Interaction: CPI-SMI) and his recent study exploring whether proximity to the professional career transition influenced the extent to which students considered their professional image when using social media.
4. 39% = monitor the social media activity of their
employees
(on company-owned computers/mobile devices)
33% = disciplined employees for violating social media
policy
(n = 441; Society for Human Resource Management, 2011)
84% = use personal data for making recruitment decisions
85% = positive online reputation influenced hiring decisions
70% = rejected candidates based on negative information
(n = 275; Microsoft/Cross-tab Market Research, 2010)
Employers
say:
6. Q1. How can we define ‘professionally appropriate’ interaction with
social media?
7. Defining professionally ‘appropriate’ interaction
•25 organisational social
media guidelines/policies
•14 semi-structured
interviews with employees
using social media to
support their professional
activity
Self-promotesConsiderspermanencyof actions
Considers
visibility of
actions
Considersfutureconsequences
ofactions
Considers
im
pact of
actions
on
others
Controls emotional
expression
Considers
influence
ofpast
actions
8. Q1. How can we define ‘professionally appropriate’ interaction with
social media?
Q2. How can we measure the extent to which people consider
professional image when interacting with social media?
9. Scale Development: Concern for Professional
Image on Facebook &Twitter
F1: Consideration of Professional Consequences
‘I take time before posting to consider how a potential
employer might judge my actions’
F2: Self-Regulatory Control
‘I post first and then deal with any consequences later’
(reversed)
F3: Prevention of Threats to Image
‘I avoid posting in a way that might cause others to think
of me as a negative person’
F4: Professional Self-Promotion
e.g. ‘I post about things that I’m working on so that others
might judge me to be a hard-worker’
Sample
n = 235 full-time students
Scale
(1) Never behave this
way
(5) Always behave this
way
Item reduction
25 items 22 items
Reliability
Good - α = .75 .84
10. Q1. How can we define ‘professionally appropriate’ interaction with
social media?
Q2. How can we measure the extent to which people consider
professional image when interacting with social media?
Q3. Do people closer to making the work transition report greater
consideration for professional image when interacting with social
media compared to those further from it?
11. Age
Controlling for impulsivity and conscientiousness,
age was a significant predictor of F1 (r = .22***);
overall model: R2
= .07; n = 217.
12. Individual Differences: Personality
Impulsivity was a significant
predictor of F2 (r = -.33***);
overall model: R2
= .29; n =
202.
Agreeableness was a
significant predictor of F3 (r = .
15*); overall model: R2
= .14; n
= 205.
Ability to modify self-presentation and
Neuroticism were significant predictors
of F4 (r = .13*; .19**); overall model:
R2
= .05; n = 227.
13. Stage of study
2.18
3.02
2.29
Controlling for covariates, there was no sig. main effect of
stage of study F(3, 144) = .49, p = .69, n.s., partial η² = .01,
n = 150
Controlling for covariates, sig. main effect of stage
of study F(3, 141) = 3.84, p < .05, partial η² = .08
with sig.
differences between middle year UGs and first
year UGs (p < .01), n = 146
3.73
4.05
F1: Consideration of
Professional Consequences
F2: Self-Regulatory Control
14. Stage of study
Controlling for covariates, there was a sig. main effect of
stage of study F(3, 141) = 4.07, p < .01., partial η² = .08,
with a sig. difference between final year UGs and college
students, p < .01), n = 147
Controlling for covariates, there was no sig. main
effect of stage of study F(3, 142) = 1.29, p = .28,
n.s.,
partial η² = .03, n = 149
2.28
2.80
2.88
2.88
3.18
F3: Prevention of
Threats to Image
F4: Professional Self-
Promotion
15. Stage of study
There was no sig. main effect of stage of study
F(3, 147) = 2.51, p = .06, n.s., partial η² = .05
.57
1.09
1.27
2.31
There was no sig. main effect of stage of study
F(3, 124) = 1.72, p = .17, n.s., partial η² = .04
Regulation Strategies
on Twitter
Regulation Strategies
on Facebook
16. Tentative evidence that final year students report more frequent
engagement in professional self-promotion behaviours upon social
media…
… and consideration of the professional consequences of one’s
interactions appears to peak prior to the final year of study …
… but no group differences in mean scores for Self-Regulatory
Control (F2) and Prevention of Threats to Image (F3)
Summary
17. Q1. How can we define ‘professionally appropriate’ interaction with social
media?
Q2. How can we measure the extent to which people consider their
professional image when interacting with social media?
Q3. Do people closer to making the work transition report greater
consideration for professional image when interacting with social media
compared to those further from it?
Q4. How might a system be designed to help people reduce risk to
professional image when interacting with social media?
18. How useful are current systems in identifying potential risks to reputation?
If limited, what might a better alternative look like?
Identity is broad and complex subject; many definitions & perspectives The aspects presented on this slide are what I believe are important components of digital personhood and are important to the study of reputation and professional image
Paris Brown – Youth Crime Commissioner – illustrates a number of the aforementioned aspects: Valuable selves: Economic impact from resigning; Multi-faceted selves: Group co-presence of social friends (17 yr olds) with professionals and wider public Temporally extended selves: PB’s actions as a 14 yr old had an impact as a 17 yr old If the media coverage of the case indicates anything to us about digital personhood and social media, it might be distilled in to two points:
Evidence of the importance of professional context in how we use social media: Box 1: HR professionals and recruiters report using social media to search for applicants and as affirmation of both positive and negative attributes Box 2: Regulation of social media is important whilst employed also – use can influence employment status
Not just an issue for people with publicly accessible profiles either - potential for people of professional importance WITHIN our networks As we known, networks can be complex – here is where we see issues of COLLAPSED CONTEXTS as discussed by the likes of Danah Boyd.
So, an overarching question appears to be: how do people manage the risk to their professional reputation when interacting with social media? My PhD thus far has broken these down into sub-questions – the first of which is about defining professional appropriateness. Using the Paris Brown case as an illustration again, an interesting element of the media reaction seemed to centre around a sense of ‘appropriateness’ – but what does this look like? What are the rules of engagement? It could be argued that it is only through defining what these are that we are really able to assess how risky a person’s use may be.
For symbolic interactionist like Erving Goffman: norms are embodied within a social setting that guide and constrain behaviour; they are scripts for behaviour in front of particular audiences I explored what these look like through analysing both social media guidelines and policies of large corporations AND interviews with employees within Higher Education who used social media as part of their professional work Helped to build a picture of what ‘appropriate’ professional interaction looks like; from PROTECTIVE actions of considering consequences of actions to more PROMOTIONAL aspects of demonstrating social influence and professional competency
So this raises a question of why some people appear to be more attuned to professional ‘appropriateness’ when interacting with social media What factors might play a role? Elements of the user’s personality? What about the situation, for instance, how close a person is to making the transition from studenthood to professional employment? I aimed to explore these in following study
However, first I developed a scale that included interactional behaviours that people in my previous study had indicated using to promote and protect their professional image on social media The scale measured the self-reported frequency with which people typically engaged in these behaviours Following exploratory factor analysis, a scale of 22 items was formed that could grouped into four factors or subscales (briefly describe each subscale) A survey of current students was conducted whereby I wanted to explore the respective roles of individual differences in personality and stage of study on the extent to which students consider their professional image when using social media
So this raises a question of why some people appear to be more attuned to professional ‘appropriateness’ when interacting with social media What factors might play a role? Elements of the user’s personality? What about the situation, for instance, how close a person is to making the transition from studenthood to professional employment? I aimed to explore these in following study
Predicted that as age increased in respondents, so too would scores on each of the four scale factors – experience (a case of older = wiser?)? Actually when taking account of other covariates of the four scale factors, age was only a significant predictor of F1 (Consideration of Professional Consequences) – and even for this, the amount of variance it explained was very small (see graph on left) The graph on the right illustrates how despite being expected to be so, age was not a significant predictor of F2 (self-regulatory control) and as it happens, wasn’t for F3 or F4 either. Worth noting how assumptions of homoscedasticity appear to be violated for this variable, meaning that it is likely to be difficult to generalise the finding beyond these models.
Predicted that as impulsiveness of respondents increased, so too would the scores they produced on F1, F2 and F3 (particularly F2) Actually when taking account of other covariates of the four scale factors, impulsivity was only a significant predictor of F2 (self-regulatory control) – and even for this, the amount of variance it explained was relatively small (see graph on left) The graphs on the right illustrates how despite being expected to be so, impulsivity was not a significant predictor of F1 or F3 (and F4 too).
Next steps
Systems currently exist that attempt to help social media users to monitor the professional consequences of their actions, but how useful are they? Contextual sensitivity Only useful for evaluating existing actions – by which time is it potentially too late?