News production becomes automatic – meta editors are coming

News production is changing as the routine parts of editorial work are being automated. The University of Helsinki and VTT will explore how interesting and high-quality news can be produced automatically, as well as what kind of new user experiences can be offered.

In order to serve the increasingly demanding audiences in multiple digital channels, media houses are trying to automate the most routine editorial work. This way, the editors can concentrate on writing more challenging special stories and giving their audiences opportunities to immerse themselves in increasingly personalized news experiences.

The University of Helsinki and VTT Technical Research Centre of Finland Ltd will research automatic news production where a personalised news experience is enabled by data and machine learning. Hyper locality and audience participation are the key elements here.

“Semi-automatic solutions will be the common practice: the editor will finalise the automatically produced text and define templates for automatic news generating programs. In the future, all editors will be, to some extent, meta editors”, believes VTT’s research professor Caj Södergård.

The degree of automation rises gradually

So far, automation has been trialed in news production by big actors, such as the American press agency AP (Associated Press), with writing analyses of financial statements for example. In addition to financial news, sports news is already automatically produced around the world.

“One can expect that producing other types of news can be automated up to a certain point depending on the availability of data. More demanding journalism – such as leading articles and in-depth articles – will remain the task of human journalists,” states the journalism researcher Carl-Gustav Lindén from Swedish School of Social Science, part of the University of Helsinki. 

“The University of Helsinki studies how data science can be applied to news production and its automation. We develop tools based on data mining and machine learning for journalists to streamline their work,” tells professor Hannu Toivonen from the department of computer science at University of Helsinki.

VTT Technical Research Centre of Finland Ltd studies how automatically produced content affects the audience and what promotes and prevents an immersive experience. VTT is also responsible for the demonstration of a news ecosystem and studies new ways to distribute content in cooperation with the technology companies participating in the project.

The main financier of the Immersive Automation project is Tekes through their Media remake program. Other financiers of the project are Media Industry Research Foundation of Finland, The Swedish Cultural Foundation in Finland, Sanoma, Alma Media, Conmio, Keski-Pohjanmaan Kirjapaino, and KSF Media as well as the research institutions.

 

Immersive Automation project website: immersiveautomation.com

 

Photo: Cata Portin

 

 

Created date

07.02.2017 - 18:29

Inter-university research and training centre on information security

The University of Helsinki and Aalto University have set up a joint research centre focusing on information security. The new centre, HAIC (Helsinki-Aalto Centre for Information Security), will coordinate the Master’s-level security education between the university and Aalto, with links to research and doctoral education.

The idea is to build bridges to the industries and gain their support for the education, and e.g. grants for MSc students coming from outside the EU, the head of the Department of Computer Science, Sasu Tarkoma, says.

Computer science undergraduate Petteri Timonen awarded in US science competition

Petteri Timonen, 19, came second in his category of the Intel International Science and Engineering Fair (ISEF) in Phoenix, Arizona.

 

On Friday, 15 May, Timonen, who is studying computer science at the University of Helsinki, was awarded a grant worth 1500 USD, some 1330 euros, in the Systems Software category of the Intel ISEF science competition.
 
As his entry, Timonen submitted a software tool he developed for Finland’s Red Cross to make mobile blood runs around the country as cost-effective as possible. Timonen implemented his tool in cooperation with the Blood Service.

The tool has gained international attention, as no tool like it seems to have been developed anywhere else. Timonen has also negotiated with the American Red Cross by email.

Renewed Carat App Gives a Smart Boost to Battery

 
The Carat Project Team at the University of Helsinki, Department of Computer Science, has published a new version of the popular mobile energy-awareness application.

After launch in June 2012, Carat has helped over 850,000 users, of which 41 per cent have been Android and 59 per cent iOS users, respectively. The new user interface follows modern application design guidelines and presents battery information in a more intuitive and easy to use manner.

- In addition to the new user interface, we have increased the accuracy of the energy saving recommendations of Carat, says Professor Sasu Tarkoma, the leader of this research done at the university.

The user interface features the number of energy intensive applications (Hogs), energy anomalies (Bugs) and user recommendations (Actions) at a glance on the main screen as well as global energy statistics for the device community.

Cover Song Identification Using Compression-based Distance Measures

M.Sc. Teppo E. Ahonen will defend his doctoral thesis Cover Song Identification Using Compression-based Distance Measures on Friday the 1st of April 2016 at 12 o'clock in the University of Helsinki Exactum Building, Auditorium CK112 (Gustaf Hällströminkatu 2b).  His opponent is Academy Professor Petri Toiviainen (University of Jyväskylä) and custos Professor Esko Ukkonen (University of Helsinki). The defence will be held in Finnish.

Measuring similarity in music data is a problem with various potential applications. In recent years, the task known as cover song identification has gained widespread attention. In cover song identification, the purpose is to determine whether a piece of music is a different rendition of a previous version of the composition. The task is quite trivial for a human listener, but highly challenging for a computer.