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Capitol Building invasion shows how online disinformation amplified by politicians undermines democracy - Dr Paul Reilly

On 6 January, four people lost their lives after rioters stormed the US Capitol Building in an ultimately unsuccessful bid to disrupt the certification of Joe Biden’s victory in the 2020 US Presidential Election. Following this event, there has been widespread condemnation of Donald Trump, ultimately leading to his impeachment. Senior Lecturer Dr Paul Reilly wrote a blog for Medium on the topic, explaining how online disinformation played a role. Read the article here
Recent posts

Problematising the use of Snapchat in Higher Education Teaching and Learning

 A new article has been published today in the Journal of Social Media for Learning, authored by PhD student Paul Fenn and Senior Lecturer Dr Paul Reilly. The article, entitled 'Problematising the use of Snapchat in Higher Education Teaching and Learning' can be found here:  https://openjournals.ljmu.ac.uk/index.php/JSML/article/view/383 Abstract: There has been relatively little research exploring how Snapchat can be used within Higher Education teaching to date. In this viewpoint, we draw on extant empirical data to explore the strengths and weaknesses of using the Instant Messaging (IM) app to support student learning and teaching within universities. We conclude by considering whether it is appropriate to fully integrate apps like Snapchat into Higher Education in light of the revelations of data misuse by these platforms. The growth of ‘surveillance realism’, whereby citizens feel increasingly powerless at their personal data being repurposed by these companies for financi

CILIP East - Applying to Library School event

Are you thinking about a degree in Library and Information Studies? Do you want to know more about the different options out there, and about potential funding opportunities? CILIP East are pleased to present "Applying to Library School", which will take place from 6pm – 7.30pm on Tuesday, 8th December via Zoom. Come along and hear Prof. Stephen Pinfield from Sheffield University, and recent graduates from a range of university LIS departments speak. We will be covering full-time, part-time and distance learning options, and there will be plenty of opportunities to ask questions during the evening. Programme: 6.00-6.05pm : Housekeeping 6.05-6.35pm : Programme director talk 6.35-6.55pm : Q and A 6.55-7.00pm: Break 7.00-7.20pm: Student Experiences 7.20-7.30: Questions and close There is a small fee to attend the event which will in part cover costs associated with the event. Any profit made on this event will contribute to the CILIP East Small Grants Fund. CILIP members £3 + VA

Event: BHCC 2020 - 2nd Symposium on Biases in Human Computation and Crowdsourcing

BHCC 2020 - 2nd Symposium on Biases in Human Computation and Crowdsourcing Dr Alessandro Checco Human Computation and Crowdsourcing have become ubiquitous in the world of algorithm augmentation and data management. However, humans have various cognitive biases that influence the way they make decisions, remember information, and interact with machines. It is thus important to identify human biases and analyse their effect on complex hybrid systems. On the other hand, the potential interaction with a large pool of human contributors gives the opportunity to detect and handle biases in existing data and systems. The goal of this symposium is to analyse both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures and methods to track bias, as well as methodologies to prevent and solve bias. An interdisciplinary approach is often required to capture the broad effects that these processe

Award: CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing

Award: CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing Dr Alessandro Checco A joint work between the University of Queensland, the University of Hanover, and the University of Sheffield titled CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing has received an Honorable Mention Award at the prestigious Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2020). The work focused on paid micro-task crowdsourcing. This type of labour has gained in popularity mainly because of the increasing need for large-scale manually labelled datasets which are often used to train and evaluate Artificial Intelligence systems. Modern paid crowdsourcing platforms use a piecework approach to rewards, meaning that workers are paid for each task they complete, given that their work quality is considered sufficient by the requester or the platform. Such an approach creates risks for workers: their work may be rejected without being rewarded, and they may be working on poorly

Blog: Celebrate UNESCO Global Media and Information Literacy week with the Information school

Celebrate UNESCO Global Media and Information Literacy week with the Information school Sheila Webber and Dr Pam McKinney Unesco’s Global Media and Information Literacy Week is an annual event to celebrate and promote Media and Information Literacy worldwide. This year the week of international (virtual!) events is taking place 24th-31st October, with the theme “Resisting Disinfodemic: Media and Information Literacy for everyone and, by everyone”. The Information School has co-organised two key contributions to the week: an expert panel on 28th October , chaired by Sheila Webber, and on 29th October a programme of exciting insights from Media and Information Literacy research . Both these free events are held in collaboration with FOIL: the Forum on Information Literacy. Sheila Webber and Pam McKinney are members of this new national network of information literacy researchers in the UK, FOIL, who aim to discuss and challenge ideas, and engage in critical reflection and enquiry about

Research: Study on research data management in China

Study on research data management in China Dr Andrew Cox The results of an international collaboration between Andrew Cox and Laura Sbaffi at the Information School and Yingshen Huang, from Peking University, have now been published in the prestigious Journal of the Association for Information Science and Technology (Early view). https://doi.org/10.1002/asi.24413 The research, based on web site analysis, a survey and interviews, reveals that the support of research data management by Chinese university libraries remains in its infancy. The full reference is: Huang Y, Cox A & Sbaffi L (2020) Research data management policy and practice in Chinese university libraries. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24413