Skip to main content
Home
Snurblog — Axel Bruns

Main navigation

  • Home
  • Information
  • Blog
  • Research
  • Publications
  • Presentations
  • Press
  • Creative
  • Search Site

'Big Data'

Snurb — Wednesday 25 May 2016 02:24

How Facebook Uses Computational Processes to Police Its Ads

'Big Data' | Social Media | WebSci '16 |

The final Web Science 2016 keynote for today is by Daniel Olmedilla, whose work at Facebook is to police the ads being posted on the site. Ads are the only part of Facebook where inherently unsolicited content is pushed to users, so the quality of those ads is crucial – users will want relevant and engaging content, while advertisers need to see a return on investment. Facebook itself must ensure that its business remains scalable and sustainable.

Key problem categories are legally prohibited content (e.g. ads for illegal drugs); shocking and scary content; sexually suggestive material; violent and confronting content …

» continue reading...
Snurb — Wednesday 25 May 2016 00:47

Predicting Twitter-Based Information Cascades

'Big Data' | Social Media | Social Media Network Mapping | WebSci '16 |

The next session at Web Science 2016 starts with a paper by Jure Leskovec on information cascades. Such cascades emerge as users of social media platforms (re)share content through their networks, and the prediction of such processes is traditionally very difficult.

One question in such predictions is whether a given cascade will reach the median size observed in historical cascades; because of how the median is defined, even a blind guess on this question will have a 50% success rate.

But cascades on a platform like Twitter can consist of multiple cascade trees sharing the same information, as pieces of …

» continue reading...
Snurb — Tuesday 24 May 2016 01:10

Current Practices in Social Media Data Sharing between Researchers

'Big Data' | Social Media | Intellectual Property | WebSci '16 |

The next WebSci 2016 presenters are Katharina Kinder-Kurlanda and Katrin Weller, who argue that it is necessary to address the digital divides in data accessibility in social media research. They interviewed a large number of social media researchers, and what emerges from this work is that much data sharing is already taking place, but under varying circumstances.

From a methodological point of view, how can we document such sharing to ensure reproducibility? Legally, how can we make such sharing practices sustainable and non-infringing? Ethically, how can we ensure that such data sharing does no harm and lives up to the …

» continue reading...
Snurb — Monday 23 May 2016 23:08

Identifying MOOC Learners on Social Media Platforms

Teaching Technologies | 'Big Data' | Social Media | WebSci '16 |

We start the first paper session at WebSci 2016 with a paper by Guanliang Chen that examines learner engagement with Massively Open Online Courses (MOOCs). These generate a great deal of data about learner engagement during the MOOC itself, but there's very little information about learners before and after this experience. Can we use external social Web data to identify and profile these learners, in order to better customise the learning experience for them?

The biggest challenge in this is to identify the learners across diverse social media platforms. There are some possible approaches: explicit matching based on public email …

» continue reading...
Snurb — Monday 23 May 2016 18:25

Web Science and Biases in Big Data

'Big Data' | Social Media | WebSci '16 |

It's a cool morning in Germany, and I'm in Hannover for the opening of the 2016 Web Science conference, where later today my colleague Katrin Weller and I will present our paper calling for more efforts to preserve social media content as a first draft of the present. But we start with an opening keynote by Yahoo!'s Ricardo Baeza-Yates, on Data and Algorithmic Bias in the Web.

Ricardo begins by pointing out that all data have a built-in bias; additional bias is added in the data processing and interpretation. For instance, some researchers working with Twitter data then extrapolate …

» continue reading...
Snurb — Saturday 21 November 2015 22:32

Social Media in Australia: The Case of Twitter (DSTG 2015)

'Big Data' | Social Media | Social Media Network Mapping | TrISMA (ARC LIEF) | Twitter | QUT Digital Media Research Centre | ARC Future Fellowship |

Defence Science and Technology Group 2015

Social Media in Australia: The Case of Twitter

Axel Bruns

  • 24 Sep. 2015 – Defence Science and Technology Group, Adelaide
» continue reading...
Snurb — Saturday 21 November 2015 16:04

Twitter in Germany: A Big Data Perspective (GAU 2015)

'Big Data' | Social Media | Twitter | ARC Future Fellowship |

Georg-August-Universität Göttingen

Twitter in Germany: A Big Data Perspective

Axel Bruns

  • 3 June 2015 – Georg-August-Universität Göttingen
» continue reading...
Snurb — Saturday 21 November 2015 16:01

From Geographic Location to Network Location: The Potential of Big Social Data (Pivotal 2015)

'Big Data' | Social Media | Social Media Network Mapping | TrISMA (ARC LIEF) | Twitter | Conferences |

Pivotal 2015 International Executive Summit

From Geographic Location to Network Location: The Potential of Big Social Data

Axel Bruns

  • 30 June 2015 – Pivotal 2015 International Executive Summit, Brisbane
» continue reading...
Snurb — Tuesday 17 November 2015 17:15

Easy Data, Hard Data: The Politics and Pragmatics of Twitter Research after the Computational Turn (AoIR 2015)

'Big Data' | Social Media | TrISMA (ARC LIEF) | Twitter | AoIR 2015 |

Association of Internet Researchers conference 2015

Easy Data, Hard Data: The Politics and Pragmatics of Twitter Research after the Computational Turn

Jean Burgess and Axel Bruns

  • 23 Oct. 2015 – Association of Internet Researchers conference, Phoenix
» continue reading...
Snurb — Tuesday 17 November 2015 16:37

Social Media News Audiences and the Quantified Journalist (ICA 2015)

Journalism | Industrial Journalism | 'Big Data' | Social Media | Conferences |

International Communication Association conference 2015

Social Media News Audiences and the Quantified Journalist

Tim Highfield and Axel Bruns

  • 22 May 2015 – International Communication Association conference, Puerto Rico
» continue reading...

Pagination

  • Previous page
  • 15
  • Next page
'Big Data'
INFORMATION
BLOG
RESEARCH
PUBLICATIONS
PRESENTATIONS
PRESS
CREATIVE

Recent Work

Presentations and Talks

Beyond Interaction Networks: An Introduction to Practice Mapping (ACSPRI 2024)

» more

Books, Papers, Articles

Untangling the Furball: A Practice Mapping Approach to the Analysis of Multimodal Interactions in Social Networks (Social Media + Society)

» more

Opinion and Press

Inside the Moral Panic at Australia's 'First of Its Kind' Summit about Kids on Social Media (Crikey)

» more

Creative Work

Brightest before Dawn (CD, 2011)

» more

Lecture Series


Gatewatching and News Curation: The Lecture Series

Bluesky profile

Mastodon profile

Queensland University of Technology (QUT) profile

Google Scholar profile

Mixcloud profile

[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Licence]

Except where otherwise noted, this work is licensed under a Creative Commons BY-NC-SA 4.0 Licence.