After testing newspaper ads and radio ads, Google moves to a higher dimension: TV ads. Wall Street Journal reports that there's already a pilot program with a cable company in California, Astound Broadband.
Forbes gives a possible motivation: "Internet search advertising is a $15 billion business, of which Google has a two thirds share. However, TV advertising in the U.S. is a $54 billion market."
At a Morgan Stanley conference, Eric Schmidt said that the TV ads are inefficient because they are poorly targeted. People see ads they have no interest in and change the channel. "Schmidt told the conference that the next generation of digital set-top boxes would be addressable Internet devices, which would present a huge opportunity for targeted advertising."
The pilot program is "is aimed at testing the computer and network infrastructure needed for Google to broker and deliver commercials to cable systems more widely. In the test, advertisers are buying commercial placements through an auction system, people familiar with the matter say. But it is at an early enough stage that the buys are being handled manually by Google salespeople, rather than through a full-fledged automated auction like the one Google uses to sell ads online, one of the people says."
In a not-so-distant future, when Internet and TV become closer, Google could become a search engine for TV shows and serve targeted ads based on the content you're watching, location and the information from your Google account.
How Happiness Is Reflected in Blogs
Rada Mihalcea, from the University of North Texas, and Hugo Liu, from MIT, wrote last year an interesting paper [PDF] about happiness and the way it's reflected in blogs.
From the abstract: "What are the sources of happiness and sadness in everyday life? In this paper, we employ 'linguistic ethnography' to seek out where happiness lies in our everyday lives by considering a corpus of blogposts from the LiveJournal community annotated with happy and sad moods. By analyzing this corpus, we derive lists of happy and sad words and phrases annotated by their 'happiness factor.'".
LiveJournal, which is mostly popular in the US, lets you annotate your post with a mood and this made things easier.
This chart shows the happiness factor in a day and for each day of the week, measured by looking at the distribution of the most popular "happy" words ("yay", "shopping", "awesome", "birthday", "lovely", "concert", etc.):
Saturday seems to be the happiest day for LiveJournal bloggers, while the night is the happiest time of the day. Some of the most frequent contexts associated with happiness are talking about birthday or about something new, while the sad contexts are more human-centered and use verbs like "wish", "hate", "miss".
The paper also offers a recipe for happiness:
Ingredients
- Something new
- Lots of food that you enjoy
- Your favorite drink
- An interesting social place
Directions
Go shop for something new – something cool, make sure that you love it. Then have lots of food, for dinner preferably, as the times of breakfast and lunch are to be avoided. Consider also including a new, hot taste, and one of your favorite drinks. Then go to an interesting place, it could be a movie, a concert, a party, or any other social place. Having fun, and optionally getting drunk, is also part of the recipe. Note that you should avoid any unnecessary actions, as they can occasionally trigger feelings of unhappiness. Ideally the recipe should be served on a Saturday, for maximum happiness effect. If all this happens on your birthday, even better. Bon appétit!
{ via eLearningBlog }
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