Digital Humanities Meetup: Online Collections & Exhibitions

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You’re invited to our 4th Digital Humanities monthly meetup: “Online Collections & Exhibitions: An Introduction to Omeka”.

When: Tuesday 30 May, 3-5 pm

Where: Puaka-James Hight Library Building, Room 388

Omeka ( is a free, open-source web publishing platform for the display of collections and exhibitions. It’s used by libraries, museums, archives, scholars and communities around the world – including students and researchers here at UC, with the support of the UC Arts Digital Lab.

Staff from the Lab will showcase two key Lab projects that demonstrate the power and versatility of Omeka, and will walk participants through setting up a simple Omeka site. You’ll get the most out of this workshop if you bring your own laptop with VirtualBox ( installed. If you don’t have a laptop, you’ll still be able to follow along on the main screen, or by pairing up with someone J

If you’d like help installing VirtualBox, feel free to drop into the UC Digital Arts Lab (Karl Popper 414) any day between 9-5pm, before Tuesday 30th.

Digital Humanities Meetup #3: Internet Memes

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When: 26 April 2017, 3.00 – 5.00 pm

Where: UC Puaka-James Hight Library Building, Room 388

The 3rd Digital Humanities monthly meetup is entitled “Internet Memes: The crumbling boundaries between the serious and the unserious”.

The study of Internet memes is new both as concept and practice. This is largely due to the novelty of the concept itself, as well as the academic resistance against the serious study of the unserious. But the boundary between the serious and unserious is crumbling, and cyberculturally literate scholars have emerged to tackle the task of studying memes.

This presentation will explore the three major traditions of meme studies in their historical, theoretical and cultural contexts, introducing the most prominent thinkers and how they are shaping the future of meme studies. The presentation will be followed by a workshop in which participants will learn how to start their own memepage on Facebook. A laptop or a smartphone is recommended for the workshop, but not required.

As always, feel free to invite others and we look forward to seeing you!

Community formation that transcends politics in the age of filter bubbles – an example from Facebook

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The recent fires in the Christchurch Port Hills caused enormous destruction and disturbance to those living in the area. Tragically a life was lost fighting the blaze, and there was major disruption when about 450 houses were evacuated, 11 homes destroyed, and over 1800 hectares scorched in the region between the suburbs of Cashmere, Westmorland, Kennedy’s Bush and Governor’s Bay.

Ross Younger Creative Commons Attribution-ShareAlike 2.0 Generic

Concerned citizens during the crisis created a Facebook group named “Evacuation housing” where people could share information, and offer food or shelter to those who had been evacuated. I wanted to understand who participates in such social media responses to a crisis, so decided to study the political affiliations of the people who joined this group. I did this by examining publicly available information about each member’s past behaviour on Facebook to determine their political orientation, and then plotted this data on several graphs to help visualise the findings.


Fig 1.0. This graph shows the aggregated political orientation of everyone in the group. Political orientation is determined by the individual users like-history.


Fig 1.1. This graph shows the aggregated political orientation of everyone in the group relative to the country average on Facebook. It shows political groups that are either over- or under-represented in the group.

Fig. 1.2. This network diagram shows all the interactions between individual users who are part of the Facebook group “Evacuation housing”. The color of the nodes correspond to the same political affiliation as in fig. 1.0 and fig 1.1 Names are omitted from the nodes in the network in order to preserve privacy.


A quick look at the method

The method behind the study is simple, though not easily implementable. First, data was collected using the public Facebook Graph API 2.7 I collected data on all individual users who had been active on any of the public Facebook pages represented by a politician currently in parliament. All users who had not liked at least 7 posts from any of the pages were filtered out, which produces a little less than 200,000 unique users in New Zealand. Each user’s political affiliation is based on the political party from which the users has liked to most post on a percentage basis. Almost 1100 users could be identified with a probable political affiliation out of the 3500 members of the public group “Evacuation Housing”


At the outset Fig 1.0 shows a fairly balanced distribution of affiliation with the political parties. On Fig 1.1 we see that Green and Labour are somewhat over-represented. Fig 1.2 shows that interactions within the group do not form clusters of users who are only affiliated with the same party.

In the age of filter bubbles, echo-chambers and behaviour-altering algorithms we see that online spaces still allow different people to come together and help each other in a time of crisis. This very small, very limited data-driven look into a spontaneously created Facebook group shows how political orientation is not overly skewed toward one particular group when it comes to issue based community formation. Even though some political groups are overrepresented it is not enough to constitute a so-called echo chamber, a place where only likeminded people interact. The actual significance of over- and underrepresentation by political groups in this case will require deeper analysis.
This study is also a peek into how the public behaviour of individual users can be applied to create segments and find out how these segments are mobilized for a certain cause. Future studies could involve the same political segmentation to be used to in other contexts or other segments could be created using the same basic method.