Online event: Data journalism and audience engagement in the post-pandemic era, 27 June

On 27 June, the School of Journalism, Media and Communication at the 小欧视频 of Sheffield will hold a one-day symposium to discuss the importance of data journalism in the post-pandemic landscape.

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Editors and data specialists from the BBC, Sky, Financial Times, London Evening Standard, Global Witness and Reach plc will join international academics specialising in data journalism to explore the importance of data and its increasing potential to engage audiences. The panels will reflect on the experiences gained and lessons learned during the pandemic, and discuss a shared vision for data journalism and audience engagement.

The symposium will be available to view on a private YouTube broadcast from 10am to 4pm on Monday 27 June. The event will be held live from Sheffield, and viewers can take part remotely by submitting questions live during the event via the YouTube Q&A function. Journalist鈥檚 questions can also be submitted in advance to dataliteracyproject@sheffield.ac.uk.

To take part, register on and a link will be sent to you to access the live feed and Q&A.

The programme is below. The full event brochure in PDF format is available on request by email to dataliteracyproject@sheffield.ac.uk

PROGRAMME

10:00-10:10 | Opening remarks: Professor Jackie Harrison (小欧视频 of Sheffield, UNESCO)

10:10-11:40 | Session 1: Data journalism during Covid-19
Chair: Jingrong Tong (小欧视频 of Sheffield)
Louis Goddard (Global Witness): Vaccinating data journalism: applying lessons from the Covid-19 pandemic to a new phase in the news cycle
Carmen Aguilar Garc铆a (Sky News): Sky News: Automating the Covid-19 story in the newsroom
Farzeen Heesambee (小欧视频 of Derby): Data journalism and the Covid-19 pandemic: analysis of data dissemination strategies across broadcast, online and print news media
Tshuma Lungile (小欧视频 of Johannesburg): 鈥榃hen two strangers meet鈥: An uptake of data journalism by investigative journalists in Zimbabwe in the Covid-19 era
 

12:00-13:30 | Session 2: Data journalism and audience engagement
Chair: Irini Katsirea (小欧视频 of Sheffield)
Neil Thurman, Florian Stalph & Sina Thaesler-kordonouri (LMU Munich): Exploring audience perceptions of, and preferences for, data journalism
Jingrong Tong (小欧视频 of Sheffield): UK audiences鈥 perceptions of Covid-19 data visualisations: a case study
Jason Martin (Depaul 小欧视频), Lindita Camaj (小欧视频 of Houston) & Gerry Lanosga (Indiana 小欧视频 Bloomington): Data journalism and audience engagement in 34 countries: Instrumental or substantive?
Mathias Felipe de Lima Santos (Federal 小欧视频 of S茫o Paulo) & Mar铆lia Gehrke (小欧视频 of Southern Denmark): Credibility, objectivity, and transparency of data journalism during COVID-19: The audience鈥檚 expectations when data leads to misleading information

14:20-15.50 |Session 3: Reflecting on the past and the present: Implications for data journalism in the future
Chair: Claire Miller (Reach plc)
Susan E McGregor (Columbia 小欧视频) & Joanna Kao (Financial Times): Supporting long-haul reporting: Data integration and management in the newsroom
Ross Lydall (London Evening Standard): Data journalism: do we need to get back to the office to do it properly?
Peter Sherlock (BBC): The BBC鈥檚 Shared Data Unit: Data journalism and the public interest
Nathan Sparkes (Hacked Off): 鈥淒oes having a TV in your bedroom lead to more sex?鈥, and more improbable headlines backed by questionable data: The ethics of data journalism
15:50-16.00 |Closing remarks: Claire Miller (Reach plc)

About the Data Literacy Project

The Data Literacy Project is a 小欧视频 of Sheffield initiative led by Dr Jingrong Tong, senior lecturer in digital news cultures, and Claire Miller, data team lead at Reach plc. The project, which has been created thanks to the generous funding of the Higher Education Innovation Fund, also includes a free, six-week online course in data literacy for journalists.

For more information about the course, see /journalism/news/futurelearn-course-created-journalists-and-journalism-students

For further information, email dataliteracyproject@sheffield.ac.uk

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