News organisations often receive breaking news from newswire feeds. This initial feed is often short and concise and does not contain much accompanying media – particularly in the first hour or so, which is referred to as the ‘Golden Hour’. On the other hand, in the event of breaking news, a wealth of crowd-sourced data becomes available on the Social Web, offering a crucial source of multimedia for journalists, who compete for being the first and best in today’s digital age. Newswire 2.0 seeks to bring these two traditional and contemporary sources together to empower journalists in producing rich stories in the shortest time possible. This will enable newsrooms and journalists to find the latest relevant multimedia content, i.e. image or videos, for any newswire feed with a click of a button.
Your Data Stories
YourDataStories, or YDS in short, is an EU funded H2020 project on Open Data, Data Journalism, Storytelling and Data Visualisation. It aims at making sense of open and social data, for enhanced storytelling.It answers your specific question by turning data into the substrate for stories that human beings can comprehend and act upon. YDS addresses professionals in govern-ment, public administration, business, and journalism, but it is also made for citizens. Insight News Lab acts as Data Journalism specialist in the project. YDS project partners are: Athens Technology Center, National Center for Scientific Research “Demokritos”, TenForce BVBA, Deutsche Welle, European Journalism Centre, Department of Public Expenditure and Reform, Ireland, Hellenic Ministry of Administrative Reform and E-Governance, and Insight @NUI Galway (lead by E-Government Unit). You can find more information on the project website.
VeritaWire: Towards a trusted social media newswire service
In an era of near real-time news reporting, modern journalists have to verify information from a vast torrent of text, images and video produced by social media users, under severe time constraints. Social media sources and content are vital to news organisations, but carry low trust value and must be authenticated by a series of veracity checks. VeritaWire seeks to create proof of concept methods and algorithms for the analysis, abstraction and summarisation of provenance information, veracity assessment and fact checking, targeted at identifying trust indicators that are useful for journalists.
In the event of breaking news, such as political demonstrations or natural disasters, a wealth of crowdsourced data, in the form of text, video and image, becomes available on the Social Web. In order to incorporate these data into a news story, the journalist must process, compile and verify content within a very short timespan. Currently this is done manually and is a time-consuming and labour-intensive process for media organisations. This project is an implementation of Social Semantic Journalism, which seeks to get traction for a Semantic Web assistant for journalists creating breaking news stories by sourcing, aggregating, filtering and verifying User-Generated Content (UGC) from the Social Web.
News360 is a collaborative project with RTÉ, the Irish National TV and Radio broadcaster. The goal of the project is to assist RTÉ journalists producing news stories by sourcing, aggregating, filtering and contextualising newsworthy content, with particular focus on usergenerated content.
Social Repository of Ireland
This project seeks to determine the feasibility of developing a richly annotated archive of social media responses to major events / topics of interest in Ireland, and to preserve this archive in a trusted digital repository. In addition to archiving and preservation, the study will develop practices for semi-automating the processes of annotation and archiving, enriching the data with contextual curation from archives, and assessing legal and ethical issues that arise in the preservation of social media. The proof of concept will deliver social media archiving, analysis and curation tools with applications in media campaigns, journalism and digital marketing. This project is done in collaboration with the Digital Repository of Ireland.
Hash2News is a Chrome Extension which enables users to find the news stories behind Twitter hashtags. It utilises Linked Data technologies, Entity Extraction, Natural Language Processing and stream analysis techniques to find the news articles most relevant for any given hashtag.
Hash2News won the ‘Connecting the News’ prize at the BBC NewsHack on May 2014.
RTÉ Content Discovery
This project is in collaboration with RTÉ and the Digital Repository of Ireland. The goal of this joint project is to deliver a linked data based content discovery platform across all the RTÉ Archives, enabling wider re-use of RTÉ Archive audiovisual material.
National Survey into Irish Journalist’s use of Social Media
This is the first comprehensive study carried out on Irish journalists’ use of social media. The study provides insight into how the day-to-day job of the journalist is changing in this country. The survey was being distributed to journalists across Ireland working in print, television, radio and online media. The objective of the study was to find out how often Irish journalists use social media, what they use it for (i.e. sourcing stories or promoting their work) and how it impacts their job.
Feasibility Study into Social Semantic Journalism
In the event of breaking news, such as political demonstrations or natural disasters, a wealth of crowdsourced data, in the form of text, video and image, becomes available on the Social Web. In order to incorporate these data into a news story, the journalist must process, compile and verify content within a very short timespan. Currently this is done manually and is a time-consuming and labour-intensive process for media organisations. This research seeks to get traction for a Semantic Web assistant for journalists creating breaking news stories by sourcing, aggregating, filtering and verifying User-Generated Content (UGC) from the Social Web.