Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

Using Social Media to Pick the Super Bowl Winner

Before the first snap of the NFL season was taken, I made a prediction for the Super Bowl champion. Like many of the pundits who get paid the big bucks, I was wrong. Unlike those folks who pick based on their guts, film breakdown or past trends, I used all of YOU to pull my prediction. Confused? Don’t be – I used Lithium Social Media Monitoring (formerly Scout Labs; Disclosure – I received an evaluation license) to use the social buzz around the teams to pull together a report called the Passion of the Fan to see if online passion would translate into on-field success.

Unfortunately it did not. The Pittsburgh Steelers made my playoff cut, but did not make the big dance as the people’s voices translated into San Diego topping Dallas – whoops.

Instead of licking my wounds and saying better luck next year, we’re going to try this whole rodeo again. To judge the NFL champion on Sunday, we’ll look at the same metrics provided through the tool in terms of social buzz, but will look at the data going from their respective championship runs until January 31 (two weeks).

If you were too lazy to thumb through the slides and want to see who won the title from the SM space, click the video below to see.

Do you think this report will hold up come Sunday or do you think its total bunk? Either way, I will have another post on Monday looking at who had the bigger buzz levels on Super Bowl Sunday.

3 Responses to Using Social Media to Pick the Super Bowl Winner
  1. KeithTrivitt
    February 2, 2011 | 9:03 am

    Interesting report, Jeff. I was particularly struck by the positive conversation chart, showing the strong positive buzz for Green Bay versus some relatively minor positive buzz for Pittsburgh. I wonder if the “Roethlisberger Effect” (e.g., his multiple incidents of negative and ongoing publicity) had anything to do with this?

    Do you have any sense of that from your data?

  2. jeffespo
    February 2, 2011 | 9:31 am

    @KeithTrivitt One of the issues with computer sentimented data is the large ammount of the “neutral” data. The majority of the Pitt posts that I looked at were love or hate ’em. When the two were marked in the field it was nuetral.

    In terms of Big Ben, he was mentioned 6636 times in the past month. In some instances, that makes sense given he is the QB, but I am sure his after hours troubles are in there as well.

  3. […] This post was mentioned on Twitter by jeffespo, jeffespo, NewsSpark, Kari O'Brien, MOLOTOV and others. MOLOTOV said: Using #SocialMedia to Pick the #SuperBowl Winner (via @jeffespo) http://bit.ly/houV8u […]

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