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Clickable News

August 10, 2015 / 10:53

This episode discusses media bias, digital data, and editorial decision-making in newspapers, featuring research on click-driven news coverage from an Indian newspaper.

The guest explains how traditional news selection criteria are evolving due to the influence of digital data. They highlight that editors may prioritize stories based on online traffic, raising questions about the quality of news.

Key findings from the research indicate a correlation between article clicks and the duration of coverage, suggesting that higher traffic leads to more resources allocated to certain stories.

The discussion also differentiates between hard news and soft news, revealing that the click-driven effect primarily impacts hard news coverage.

The episode concludes with implications for news editors and policymakers regarding the balance between digital engagement and maintaining quality journalism.

TLDR

Media bias in newspapers is influenced by online clicks, affecting how stories are covered and prioritized.

Episode

10:53
00:00:04
I conduct research related to traditional and new media and in this study what we are interested in is
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documenting any sort of bias that might be happening in newspapers related to the availability of digital data and big
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data consumers often wonder what goes through an editor's mind when they look
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at newspapers how do the news that they read how do they make it to the newspaper or the TV that they watch and
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they often wonder are they selected based on some sort of particular agenda of the newspaper already sorted based on
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their importance now if you ask a journalist up until recently at least they would give you the answer that yes
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news are selected based on their news worthiness there's their importance and
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the novelty how important they are how new they are to the public however if this is the case of course consumers may
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also wonder why is it that we see so many cat pictures or hawise that we see so many quizzes that are available on
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the news media now we took an alternate approach to this we had an alternate hypothesis and we said but perhaps there
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are other concerns in editors mind especially these days when the editors are fed so much information about how
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the individual stories on online news articles are doing in particular we are thinking that there might be a
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relationship between in the traffic that individual articles receive and how long
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stories particular topics are covered on a newspaper so we tested this hypothesis
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using data from a large online version of a reputable newspaper outside of the United States was actually an Indian
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newspaper and we wanted to see if the stories who's first articles received a
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high number of clicks for various reasons if they somehow were covered for a longer period of time in the newspaper
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and we also tested various additional measures of resources that an editor might allocate to the story and what we
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found was interesting we indeed found that there is a relationship between the number of clicks that are
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saved by the article and the amount of time that a story is essentially covered by the follow-up articles that are
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repeating on multiple days those two are positively correlated well there are a couple key takeaways
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from our research first is of course this relationship that indeed whenever a news article receives higher number of
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clicks there is a higher level of resources in tutorial resources that are allocated to the particular story but
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this is of course something that makes sense at a correlational level you would wonder to what extent is this also
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causal the relationship what I mean by that is to what extent is it the case that just because new story is receiving
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higher number of clicks you see a longer period of time that's allocated to it so
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we had to establish this this was the the main effort that we exert exerted in our research what we did was to find
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some instruments as we call them that would affect essentially the amount of clicks that that are received by the
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article but not necessarily the editorial decision of how much time to allocate to it and the two instruments
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that we used were looking at reigns days with reigns and looking also at the ordinary power shortages so our idea is
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that if there is a rainy day people would be staying indoors they would be more likely to go online that is going
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to create some sort of a shock in the number of clicks similarly on the days when there are ordinary power shortages
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it's likely that the chances that people will go online is going to go down that's going to reduce the number of
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clicks in environment look at the relationship between clicks and these two instruments we find a significant
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relationship and whenever we looked at essentially the editorial policy related to these two instruments we are also
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seeing that indeed there is a relationship that we can see in terms of how long the coverage of a particular
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stories or also on how many follow-up articles appear related to a particular first story that was published what
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would that mean that might mean that if it happens to be a rainy day or if it happens to beat it in India if there was
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an ordinary power shortage on the day that Kim Kardashian article first broke that
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story actually may run for a couple more days on the newspaper as opposed to another story
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well the conclusion that surprised us the most was probably who once we started separating news into further
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classifications and and made a comparison among them so what we did as an addition was to analyze news as hard
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versus soft news what I mean by hard news is the type of news that tend to provide more information to the
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consumers for example news related to politics or business and by soft means soft news I mean news such as
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entertainment or sports when you looked at video traffic that's received by articles influence the coverage of
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stories by looking at only the hard news in the soft news we found that the effect is present only for the hard news
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it doesn't exist for the softness or to put it in more academic terms the effect
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is not significant so what this might imply is that consumers should not necessarily worry that just because now
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traffic information is provided to news editors and news editors tend to pay more attention to them it doesn't
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necessarily mean they'll start seeing newspapers full of cat pictures or more
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entertainment stories in addition we also found sort of we quantified the effects of the traffic so what we can
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say is for example increasing the new story clicks by about seven hundred klicks is going to result in about three
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additional days of coverage in the storage and that might also mean 3 additional articles on average about the
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same story about the same topic so that's the second fine so in terms of the news industry right
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now there's a lack of consensus in terms of what the newspapers should be doing
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and with the spit all of this digital data when we look at some newspapers walks calm is mentioned to be an example
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of this they tend to recommend their journalists to stay away from digital beta this is done in order to encourage
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them to come up with better stories newsworthy stories stories that matter for the society by me look at other
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examples gawker.com is mentioned to be an example of this these newspapers tend to provide some sort of an incentive for
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their journalists to create stories that can bring higher number of clicks usually these incentives are in the form
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of financial payments so there isn't really a consensus and it's not clear
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exactly what policy should be the right policy to embrace by the news industry or study I think shows what can happen
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or at least currently documenting what's happening in one large reputable portion
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of the news industry what we are telling the news editors is in some sense yes it
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might help to use the digital data as long as you're not using this in order
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to dilute the quality of information that the consumers are receiving and for the consumers I think we are telling
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them that they don't have to necessarily worry about the quality of information
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that they receive from newspapers digital data might still actually help them it can increase the number of
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stories that are informative in some sense or the coverage of the stories that are informative for policymakers
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this brings up other questions because the one other side of essentially driving at clicks driving your news is
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what happens to the representations of the minority views when the majority of clicks are received by the populations
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or the sub groups that are also in in larger portions in a society that might bring up some questions about we point
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diversity which is important from the perspective of FCC and they might need to start now asking
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some questions about what does this policy due to the viewpoint of some of the minority maybe groups in the society
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well technically our research is the first that's documenting the existence of bias that's coming from the traffic
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so in that sense we can't really make a comparison to form a research but we can
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say that we are providing in evidence of a bias that's in a different format and
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that is essentially their new just something that we are starting to see in newspapers as an additional form of
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traffic source twice while we are still conducting and carrying out further analysis to see if
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we can make additional statements about this type of research and we are getting
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lots of feedback from or from our scholars and also peers in the industry as far as following up with our research
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with the same research kotor i'm going to be following now on social media not
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just the traditional news media and we are going to look at other impacts other factors that might be influencing
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people's life now one particular study we are focusing on that's relevant but a
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very different topic is looking at politicians and three on social media and how that influences their chances of
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raising campaign donations you

Episode Highlights

  • The Influence of Clicks on News Coverage
    Research shows a correlation between article clicks and the duration of coverage.
    “Higher clicks lead to longer coverage periods.”
    @ 02m 47s
    August 10, 2015
  • Hard News vs. Soft News
    The study found that the click effect is significant only for hard news, not soft news.
    “The effect is not significant for soft news.”
    @ 05m 44s
    August 10, 2015
  • Digital Data's Role in Journalism
    Digital data can enhance informative stories without compromising quality.
    “Digital data might still help increase informative stories.”
    @ 08m 17s
    August 10, 2015

Episode Quotes

  • Why do we see so many cat pictures?
    Clickable News
  • Consumers should not worry about cat pictures dominating the news.
    Clickable News
  • Our research documents bias from traffic.
    Clickable News

Key Moments

  • Research Findings02:13
  • Click Influence02:47
  • News Classification05:44
  • Consumer Reassurance06:06
  • Digital Data Impact08:17

Tension Over Time

Words per Minute Over Time

Vibes Breakdown