Citizen journalism and user involvement is just two buzz words from the last five years. Perhaps our media model can help us look through these concepts and see what unexplored possibilities there’s yet to try out - we’re building the model not to make boring analyses, but to help us become creative :)
Two examples of user involvement
OhMyNews, USA Today and The New York Times share the common theme of being oriented toward society and politics. They thereby take on the same role/identity as most newspapers have done throughout their existence. The three sites are structurally highly similar, but the differences are interesting.
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OhMyNews |
USA Today online |
The New York Times online |
Organization
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For-profit
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For-profit |
For-profit |
Object
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Original content
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Original content |
Original content |
Presentation
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Prioritized |
Prioritized |
Prioritized |
Conversation
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Conversation
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Conversation |
No conversation |
Editing
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Centralized / Editors
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Decentralized / Voting Centralized / Editors |
Centralized / Editors |
Editor type
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Humans
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Humans Algorithm |
Humans |
Frequency
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Continuously
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Continuously |
Continuously |
Object provider
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Users
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Editors |
Editors |
All three are run as a business. They all feature original content, are all traditionally prioritized and edited centrally by humans - with USA Today having some mixed features. All three take advantage of the Internet and update their sites continuously. Besides from the continuous update, The New York Times online is more or less a straight copy of the paper version, both in terms of structure and presentation.
The main feature of OhMyNews is of course the user contributed writings, a concept that has received a lot of hype through the years. Our model is open for users “providing” the object while they haven’t got the possibility to also edit and prioritize. In the case of OhMyNews, the users doesn’t edit - it is editors who select and prioritize the content.
Looking at USA Today the situation is opposite - here the editors provide the objects while users can vote (”recommend”) on items. The prioritization is not completely user-based, as an algorithm seems to blend votes with how long time the content has been online. Editors also seem to influence the list, but the concept of opening the site for user editing as opposed to user contribution is new and interesting.
In my personal opinion, user editing should be much more widely considered where appropriate. Currently this feature is mostly seen at sites as social bookmarking services and weblogs, where the users literally edits the Internet. WikiNews is another news site that features both user contributed articles and user editing.
The real value of user contribution might not be content but knowledge about content
Understandably The New York Times really can’t open up for much user contribution of content and editing - their readers expect a high quality product they can trust. But what could be interesting and actually might work very well in terms of user contribution, was if The New York Times opened up for user contributed context in e.g. a Digg-like system connected to each article separately.
It would be both useful and engaging if readers alongside each article could contribute links to background information, different perspectives, maps, blog posts, Wikipedia entries etc. With many million readers a day, each article at The New York Times would probably quickly be “tagged” with a lot of interesting perspectives, and users voting on these links to context would ensure that the most interesting background information was featured first.
Currently context at most news sites, including The New York Times, is limited to earlier articles from the same media. This is probably due to the factor of news sites not wishing to direct readers to other sites and thereby loosing out on advertising revenue, but I guess the biggest factor is the time it takes to find really good context. Journalists simply haven’t got the time to digg through search engines and sort through all the relevant material and subsequently decide what to feature alongside the article itself.
While journalists in most cases are the first in the know and has the best skills to convey information, millions of users together have a much better overview of background information already available than a single journalist does. Giving the users the option to contribute valuable background information would be like giving them the job they are best at, and it would add a whole new explorative dimension to news, especially if it is combined with highly evolved conversation tools, as e.g. Digg’s commenting-system.
Citizens journalism is hard to implement and it’s real value is still doubtful. It would be an interesting experiment to let journalists do what they are best at, while tapping into the real useful resources that users collectively hold: A great overview and a lot of knowledge about what valuable content there’s out there.