Office of Marketing and Communications Hand Hall Many other newspapers have similar guidelines: The Op-ed opinion editorial is current and timely, meaning it is based on recent news stories that were published within the past week or so. The Op-ed runs no more than words or less, about is ideal.
At some point a programmer writes some code for, say, a search engine, and tests it by looking at the output on a variety of different queries.
Are the results good?
In what way do they fall short of the social goals of the software? How should the code be changed? I bring this up now for two reasons.
When someone comes to Google, the only way to be neutral is either to randomize the links or to do it alphabetically. There it is, from the mouth of the bot. Yet hand selection of articles is what human editors do every day in assembling the front page. Informing people takes more than reporting Like a web search engine, journalism is about getting people the accurate information they need or want.
But professional journalism is built upon pre-digital institutions and economic models, and newsrooms are geared around content creation, not getting people information. Further, there is evidence that very few people do original reporting.
Working in a newsroom, obsessively watching the news propagate through the web, I see this every day: Reporting is just one part of ensuring that important public information is available, findable, and known. This is where journalism can learn something from search engines, because I suspect what we really want is a hybrid of human and algorithmic judgement.
As conceived in the pre-digital era, news is a non-personalized, non-interactive stream of updates about a small number of local or global stories. The first and most obvious departure from this model would be the ability to search within a news product for particular stories of interest.
If you doubt this, try going to your favorite news site and searching for that good story that you read there last month. Partially this is technical neglect. But at root this problem is about newsroom culture: Story-specific news applications We are seeing signs of a new kind of hybrid journalism that is as much about software as it is about about reporting.
There has been much recent discussion of the news app, including a session at the National Institute of Computer-Assisted Reporting conference in February, and landmark posts on the topic at Poynter and NiemanLab. Both can be thought of as story-specific search engines, optimized for particular editorial purposes.
Yet the news apps of today are just toes in the water. It is no disrespect to all of the talented people currently working in the field say this, because we are at the beginning of something very big.
One common thread in recent discussion of news apps has been a certain disappointment at the slow rate of adoption of the journalist-programmer paradigm throughout the industry. We are under-selling the news app because we are under-imagining it. I want to apply search engine technology to tell stories.
A text story about refugees due to war and other catastrophes is an obvious introduction, especially if it includes maps and other multimedia. But we can do deeper. The International Organization for Migration maintains detailed statistics on the topic.
We could plot that data, make it searchable and linkable. We could start with classic keyword search techniques, augment them by link analysis weighted toward sources we trust, and ingest and analyze the social streams of whichever communities deal with the issue.
Then we can tune the whole system using our editorial-judgment-expressed-as-algorithms to serve up the most accurate and relevant content not only today, but every day in the future. Licensed content we can show within our product, and all else we can simply link to, but the search engine needs to be a complete index.
Choose a topic and start with traditional reporting, content creation, in-house explainers and multimedia stories. We can shape the algorithms to suit the subject. That drives the production process toward algorithms and outsourced content.
But asking who did the reporting or made the content misses the point. What I am suggesting comes down to this: For that to happen, news applications are going to need to do a lot of algorithmically-enhanced organization of content originally created by other people.
This idea is antithetical to current newsroom culture and the traditional structure of the journalism industry.
But it also points the way to more useful digital news products: Great article — what do you think about sensor networks?
Once stories are collected through technology agents, the role of a journalist would be more of providing an opinion of the facts? March 26, at 2:Jul 26, · For any journalist or writer, being asked to write an editorial is a matter of great privilege and honor.
As opposed to regular news reports, an editorial is more about opinions than facts. It is meant to express a specific opinion about a current piece of timberdesignmag.com: Kasia Mikoluk.
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Sure you’ve got an unruly mess of blogs posts, newsletters, email blasts, social media posts, press releases, ad copy, and heavy duty white papers you need to write. It's impossible to build a computer system that helps people find or filter information without at some point making editorial judgements.
That's because search and collaborative filtering algorithms embody human judgement about what is important to know. I've been pointing this out for years, and it seems particularly relevant to the .