Attracting the newspaper reader in a new domain: Dimensions of user interest in news content online

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    Attracting the newspaper reader in a new domain: Dimensions of user interest in news content online - Presentation Transcript

    1. Attracting the Newspaper Reader in a New Domain: Dimensions of User Interest in News Content Online Seth C. Lewis M. Jacie Yang Media Economics Research Group School of Journalism University of Texas at Austin
    2. The Backdrop
      • Newspapers in a new domain
      • What do people want to read online?
      • Is that a preference for medium … or content ?
    3. The Story of Content Interest
      • Old vs. new media in literature
        • But what about content interest?
      • Conundrum of online news
        • High capacity vs. low preference
      • Content = Value for newspaper firms
        • But, conflicting data on Web content interest
    4. Research Questions
      • What kind of content features most interest online readers of local daily newspapers?
      • How to classify that interest? (via factor analysis)
      • How does that interest vary according to …
        • Demographics
        • Frequency of news use on other sites
        • One’s proximity to the local newspaper
          • Local “hybrid” users (print + online)
          • Local online-only users
          • Long-distance online users
    5. Method
      • Secondary analysis of industry data (‘07-08)
      • Surveys on 28 websites of (local) U.S. dailies
      • N = 25,964
      • Proximity to newspaper
        • 51% - Local “hybrid” users
        • 26% - Local online-only users
        • 23% - Long-distance users
    6. Rank of Content Features 1 Breaking news 75.6% 2 Local news 73.4% 3 Weather forecasts 60.9% 4 Local crime and safety information 50.8% 5 Statewide news 48.8% 6 Obituaries 45.5% 7 Reports on events in your neighborhood 44.1% 8 Local traffic conditions/road closures 43.5% 9 National news 43.2% 10 Local business news 39.6% 11 School closing and information 36.6% 12 Information about restaurants 35.9% 13 Classified ads 34.9% 14 Movie listings 33.5% 15 Community calendar/local schedule of events 33.2% 16 Employment opportunities and information 31.5% 17 Health and medical news 31.3% 18 Cooking and recipes 31.2% 19 College sports 28.6% 20 International news 27.8% 21 Local columnists 27.6% 22 High school sports 26.5% 23 Movie reviews 26.3% 24 Local sports (youth, semi-pro, club teams, etc) 26.2% 25 Pro sports 25.5% 26 Opinions 25.3% 27 Photo galleries 25.1% 28 Home and garden 24.9% 29 Special offers or coupons from advertisers 24.6% 30 Tourist information about the local area 23.7% 31 Lottery results 23.1% 32 Games, puzzles, etc 22.8% 33 Technology and science news 22.8% 34 Travel news and information 22.7% 35 TV listing and reviews 21.5% 36 Local discussion forums 21.4% 37 Local business directory/listing 19.5% 38 Real estate related information 19.4% 39 Contests 17.7% 40 Blogs, reader comment, or chat 16.8% 41 Financial markets and stocks 15.7% 42 Legal and financial information 15.2% 43 Religion 12.1% 44 Personal ads 10.7% 45 Computer, online or video games 10.4% 46 Automotive-related information 9.5% 47 Gaming (gambling) information 6.3%
    7. Content Interest: Nine Factors
      • 1. Local News
      • 2: Non-Local News
      • 3: Sports
      • 4: Guides
      • 5: Commentary
      • 6: Games
      • 7: Marketplace
      • 8: TV and Movies
      • 9: Household
    8. Content Interest and Demographics
      • G ender (overall, women showed more interests) Women more interested in: local news, guides, games, marketplace, TV/movies, household. Men : Non-local news, sports, commentary
      • A ge (overall, younger groups expressed more interests) 18-34 : guides, games, marketplace, TV/movies. 35-54 : Local news, sports, and household. 55-older : Non-local news, sports, household.
      • E ducation (overall, lower edu showed more interests) Lower-education readers were more interested (overall) than those with college degrees across most content factors.
      • I ncome (overall, the highest income showed slightly less interests) Lowest income group : Games, marketplace, TV/movies.
      • Higher income groups : Non-local news, sports, and commentary.
    9. Content Interest and Site Use
      • L ocal Daily Newspaper Sites Heavy users: greater interest across factors Infrequent users: marketplace and TV/movies
      • N ational News Sites Users who used national news sites were more interested across nearly all content dimensions
      • P ortal News Sites Users who used portal news sites were more likely to express interest in local newspaper content
    10. Content Interest and Proximity to the Newspaper
      • L ong-Distance Users Group most interested in Sports
      • L ocal, Hybrid Users (Print + Online) Group most interested across all other 8 content factors
      • L ocal, Online-Only Users Less interested across all content factors
    11. Discussion: 6 key findings
      • 1. Nine content factors identified and analyzed across demographics and online news usage variables.
      • 2. Young people (18-34) showed interest in content on their local newspaper sites.
      • 3. Higher-income/education groups more interested in Non-Local News; lower income/education groups morein Local news.
      • 4. Frequent readers (of different sites) showed more interest in local newspaper content online.
      • 5. Sports is a niche for long-distance markets.
      • 6. Hybrid users (print + online) were more interested than online-only users on nearly every dimension. Why?
    12. Thank You! Media Economics Research Group School of Journalism University of Texas at Austin http://sethlewis.org http://jacieyang.com
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