Narcissus was the son of River God Cephisus and nymph Lyriope. Narcissus’s mother was told by the blind seer Tiresias that her son would have a long life, provided he never recognized himself. However, his rejection of the love of the nymph Echo, drew upon him the vengeance of the gods. As punishment, Narcissus fell in love with his own reflection in the waters of a spring and pined away. As for the nymph Echo, the loss of her love made her fade away until all that was left of her was her voice.
It is time for us all to stop misusing (and over-using) the term narcissism in the context of social media use such as selfies. The sheer volume of articles in relation to ‘selfies narcissism’ returns 268K results, whilst digital narcissism, a construct yet to be defined by academics and psychologists alike, returns a staggering 502K results. Let’s stop this unfounded click-bait driven media panic, shall we?
Let’s start by defining what narcissism is…
Havelock Ellis (1898) first used the term Narcissus-like to refer to “a tendency for the sexual emotions to be lost and almost entirely absorbed in self-admiration” (Ellis, 1898, p. 890).
Freud’s ‘On Narcissism’ (1914) is widely considered to be an introduction of the author’s clinical theories. Freud describes narcissism as an excessive degree of self-esteem or self-involvement. Central to Freud’s theories are problems of the relations between the ego and external objects. Freud (1914) drew new distinctions between ‘ego-libido’ (investing the energy of libido into ego, the equivalent to “having sexual desire towards (my) self”, and ‘object-libido’, the idealisation of an object, which becomes aggrandised and exalted in the subject’s mind.
But to keep things simple, let’s simply refer to narcissism as “excessive self-love or vanity, self-admiration, self-centeredness” (Oxford English Dictionary, 2014).
So yes, when looking at selfies, one might think on the surface that selfies are a narcissist act. But are they really? What about No Make Up selfies? Are these selfies really narcissistic, or are they, on the other hand a form of communication or perhaps political empowerment?
Another issue which I have, particularly in regards to the media and their click-bait strategies, is the fact that narcissism, similarly to the Big Five personality traits, can be measured. Few of these click-bait articles have empirical evidence to back up their claims. Narcissism is, and has been measured with Raskin & Hall’s (1981) 40-item Narcissistic Personality Inventory (also known as the NPI-40) for decades. Whilst recent academic studies linking the selfie phenomenon to narcissism have used the NPI-40 as the main measurement the construct, I firmly believe that this measurement is inaccurate. Just because someone happens to be sharing selfies online, does not make them a narcissist. Correlation does not imply causation, although frequency of sharing selfies has been linked to higher degrees of narcissism.
Whilst recent academic studies linking the selfie phenomenon to narcissism have used the NPI-40 as the main measurement the construct, I firmly believe that this measurement is inaccurate. Just because someone happens to be sharing selfies online, does not make them a narcissist. Correlation does not imply causation, although frequency of sharing selfies has been linked to higher degrees of narcissism. Furthermore, as noted by Chou and Farn (2015), the plausibility of applying such (antiquated) measurements to the Internet world still lacks systematic proof. What we need is a robust scale to define and measure what Digital Narcissism is and what its dimensions are. Cyberpsychologists, over to you…
Note: I have tried to keep this blog post short and sweet. I hope that this article will ignite a debate in the community. This article is by no means intended to be a thorough literature review. It wouldn’t fit on one page as we all know! 😉
There has recently been quite a bit of chatter of late around social media listening tools attempting to analyse consumer sentiment. As we all well know however, these social listening tools often fail to correctly categorise sentiment at basic level (i.e. positive, negative, neutral), and more importantly, also fail to capture the real depth of human sentiment and emotions behind social posts. Marketers are stats junkies, even though these stats are often meaningless, and fail to inform as to what the next steps of your engagement approach should be. As Dr Jillian Ney puts it, ‘social media isn’t quantitative data, it is qualitative data on a quantitative scale.’
Let me explain through a quick case study. A couple of days ago, Domino’s Pizza announced the launch of their ‘Zero Click App’ which lets customers order a pizza with no clicks whatsoever. A quick search of mentions of the app using Crimson Hexagon (a tool which I love by the way) returned the below sentiment and media visualisation.
Great! There are 5K mentions, 15% of which are positive and only 3% negative. But, so what? When drilling further down into the topic of the mentions around the app (see visualisation below), yet again, I get little more than a pretty looking conversation map. Don’t get me wrong, these conversation maps can be useful at times…
Another area of concern for me, is that these tools often fail to capture volumes of Facebook mentions accurately. Worryingly, brand communities such as Facebook pages are the online place where your most engaged fans are (and not necessarily engaged digitally; think brand engagement). These fans are consuming your content, talking about your brand and even interacting with your brand. Whilst, Facebook insights do a good job of measuring the reach of your posts, the number of clicks/views of your posts, fan demographics etc., these ‘insights’ serve no other purpose than (dis)pleasing online acquisition managers.
What if there was a better tool to understand these comments. Well, now there is thanks to Magicrowd, an online platform for qualitative analysis of UGC… on steroids!
Magicrowd is the brain-child of artist and entrepreneur Aalam Wassef (and his team of 9). Aalam’s professional experience (including a stint at the prestigious National Centre for Scientific Research (CNRS) in France) led to his interest in understanding and analysing audiences.
Whilst, social media is typically analysed quantitatively, Magicrowd analyses UGC qualitatively and address three key questions:
- What are consumer saying?
- How are they feeling?
- What drives them to express themselves and feel the way they feel?
Although currently limited to Facebook, Magicrowd are planning on expanding the platform to offer Twitter, Instagram and Tumblr UGC analysis in the near future.
— Magicrowd.io (@ByMagicrowd) April 8, 2016
Too good to be true, right? Back to our case study; let’s see what Domino’s fans have to say about the new app. Here I am analysing fan comments posted under Domino’s status update. Immediately, you can see the basic sentiment emerging from Magicrowd is quite different from the results I pulled from Crimson Hexagon.
Simply copy and paste the URL of the post you wish to analyse, and manually code 10 comments by following on-screen instructions. Magicrowd will then return a full analysis of your fans comments based on the initial manual coding. These emotions are analysed based on a number of psychological, sociological & anthropological theories including Maslow’s hierarchy of needs, Jungian archetypes and Robert Plutchik’s wheel of emotions. These theories are combined with data-science, NLP and machine learning to deliver the results shown below.
Aside behavioural differences in social networking sites use (i.e. Twitter is for quick sharing which may explain the high volume of neutral mentions, whilst Facebook is used to express in-depth opinions), Magicrowd also analyses motivations and personalities with the aim of profiling consumers. By profiling your engaged customers, you can calibrate your content and hit a chord with your audience. Here’s an example below.
The 1 year and 4 months into the PhD update…
The dreaded questions any PhD student undoubtedly hears on a regular basis: ‘So, how’s your PhD going? Are you finished yet?’
‘Yes, it’s going, it’s going’… ‘it’s going’ is a good thing by the way. Not ‘going’ would be worrying. As for the second question, I’m internally cursing at you. Please don’t ask. I’m not finished, and I don’t know when I’ll be finished…. probably sometime in 2018 (Please send your CV if you’d like to apply for the role of ‘rich husband who can help me fund my extravagant PhD lifestyle’ – job title TBC-just kidding).
Most PhDs I know have been
mildly traumatised by the whole experience ordeal. Somehow, I am still relatively unscathed.
Inspired by Laurence, here’s a summary of my PhD so far. PhD updates are highlighted in blue, and milestones related to additional PhD activities (conferences, publications, university lecturing) in pink.
January 2015-May 2015: Yes, I’m officially a PhD student. I love my topic. Now let’s write the literature review. Hmmm careful with plagiarism. Which referencing software shall I use? I’ll try them until I find one I like. Oh shit. Referencing software has messed up my word doc. I won’t use a referencing software after all. And I now have to add my 150 references of or so manually back into my draft. Fail!
June 2015 – seminar at Aston University: Oooo first academic seminar. I’m going to mingle with lots other PhD students. This is fun. Hmmm everyone is smarter than I am though… hmmmm.
June 2015: MRes hashtag research paper submitted. I’m going to be a published author. Maybe…
July 2015 – ICORIA conference: Yes, my first conference! I’m presenting my MRes hashtag paper. I’m an academic! Or may be not… Jesus, there’s so much competition out there. Must work harder.
September 2015: After 9 months of writing my literature review and not finding a descent research gap, my supervisor steps in. Amen! I wasn’t far off from finding my research question. Or maybe I was. It doesn’t matter. I love my topic!
October 2015: MRes hashtag paper rejected by journal. Do not pass go, do not collect $200 – feeling deflated.
November 2015: First draft of my research prospectus submitted. What do you mean I need to make amends. What amends?
November 2015: French university has asked me to lecture digital marketing in March 2016! Happy! Must prepare lectures…
December 2015: Second draft of my research prospectus submitted. More amends needed? What? OK, I shall spend Christmas amending my draft. Dissertation amends have now become a bit of a Christmas tradition anyway…
January 2016: Third research prospectus draft submitted. More amends? *bangs head on desk*
January 2016: Book chapter on Digital Branding and Analytics accepted. Yeah!
February 2016: Success! My supervisors are finally happy with research prospectus. First study begins… Content analysis here I come…
February 2016: Yeah! The hashtag paper has been submitted to another journal. We’re hoping for R&R* (*R&R stands for revise and resubmit in academia, not Rest and Relaxation. hmmmm).
March 2016: I’m in France, I’m a lecturer! Students like me, but oh boy, correcting these dissertations is hard work. Gahhh
March – April 2016: God this content analysis is painful… why did I say I would content analyse 2000 pieces of UGC? Why?!
To be continued…
I had heard of Bluetooth item trackers, and although I thought the idea was brilliant, I never felt the need to buy one. Luckily for me, the team at Chipolo recently contacted me to review their tracker. It truly is a device I never knew I needed before I got my hands on one.
Chipolo made its debut on Kickstarter a couple of years ago, raising a cool $293K. The device is a keyring-sized rounded sensor that uses Bluetooth 4.0 to track your items via an app. Excitingly comparisons review consider it the best Bluetooth tracker on the market.
The device comes in an Apple-esque box which contains a keyring ring, a spare battery and the Chipolo itself. Although I was sent a Cherry Red device, the Chipolo also comes in a variety of colours.
So what makes the Chipolo stand out?
First, the Chipolo has a Bluetooth range of 60 meters, outperforming the range of other competitors by 20 meters on average. When you log into the app, the Chipolo indicates how far the device is from your phone, and the temperature surrounding your lost item.
I have a special gift for losing my keys in my phone in the morning. By shaking my Chipolo, I can make my phone ring, even if my phone in on mute. If I lose my keys, I can simply log onto the app, and get my Chipolo to beep. The app also tells you the temperature surrounding you. As an added bonus, Chipolo doubles as a selfie remote. I don’t take many selfies but I have to say that it made the whole selfie-taking process a lot easier (as in no need to twist your arm in all sorts of grotesque positions to take the selfie!). The Chipolo is available on Android, Windows and iOS. You can connect up to 9 devices to the app and also share and track a Chipolo across 2 devices, a useful feature if you share car/house keys with your special someone.
Interestingly Chipolo is building a network of users, which could become a killer feature in the future. If your item is stolen and out of your smartphone’s range, other Chipolo devices will be able to track it if it’s in their range, and ping you the coordinates to track your item. The more people buy a Chipolo, the better the network will be. Get yours today:
Web store: https://chipolo.net/ – use promo code NOTHINGISLOST to get 20% discount on a Duet pack (2 Chipolos). Valid until 31st March.