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The evolution of pr communication in the era of the internet | Public Relation

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When it comes to PR, one of the most important parts of the job is dealing with the press. Depending on your client’s profile, this can be easy or extremely difficult. For example, if you’re an entertainment firm working for a B-list celebrity that no one has heard of then getting media attention will be more achievable than if you were working for Mark Zuckerberg (an unlikely scenario, I know…).

Before we start, though; what makes Facebook so interesting? Well,, it all began back in 2004, when Harvard student and computer genius Mark Zuckerberg set out to make his final year project “Facemash” – an application where students could vote on two people’s attractiveness. If only he knew how popular this site would soon become! Fast forward a few months, and Zuckerberg had created Thefacebook.com, which would eventually become Facebook.

The first thing to note is that PR was very different back then—especially when it came to communicating with the media. In those days, if you wanted to get in touch with a journalist, you had to pick up the phone and call them (or send them an email if you were lucky). This was before the days of social media and instant communication, so it was much harder to get your story heard.

With the launch of Thefacebook.com, Zuckerberg and his team were quickly inundated with requests from journalists all over the world. Unfortunately, they didn’t have a clue how to deal with them! They hadn’t hired a PR team to help them, so they were left alone to fend off the media. go For The delhi pr agencies

It didn’t take long for one journalist, in particular, to get suspicious. Tech reporter Adam L. Penenberg was intrigued when he received a press release about this new social network that no one had ever heard of.
He quickly contacted Zuckerberg and Facebook’s COO, Chris Hughes, via email and asked for an interview with both men. What happened next was something no PR pro would be happy with… Zuckerberg replied back, saying “I don’t want to meet anyone from Newsweek.” He obviously wasn’t serious, but it gave Penenberg even more reason to investigate further-which is exactly what he did!
After some more research and digging, Penenberg discovered that Facebook was actually a replica of Xanga.com – a much smaller social network that launched back in 1999. Penenberg also discovered that two of Facebook’s team members had copied their own personal profiles from one website to another. And Mark Zuckerberg? Well, apparently he just ripped off The Facebook page full stop!  Are you looking pr agencies in delhi

This is where the story gets good, though, because instead of shutting up and accepting defeat, Mark went on to do something I doubt any PR advisor would have ever suggested. He actually admitted it all.
On May 26th 2004, Zuckerberg posted an open letter to his userbase saying “Yes, we have used many ideas from Xanga” but the reason they did so was that Zuckerberg admired their work. After admitting what happened, he also promised to change the site’s privacy settings so that users had more control over their personal data.

The thing I love about this story is that Zuckerberg didn’t try to cover it up or hide it from the press. He actually owned up to his mistakes and dealt with the consequences head-on. This is something that we see a lot less of today, especially with the rise of social media and its ability to quickly spread news (both good and bad).  Are you looking pr agencies in delhi

What can we learn from all of this?

  1. PR has changed a lot over the years, especially when it comes to communicating with the media.
  2. It’s important to be prepared for any situation, especially if you’re dealing with journalists.
  3. Owning up to your mistakes can sometimes be the best thing you can do.
  4. Social media is a powerful tool that can help or hurt your brand, so use it wisely.
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July 1, 2023
    

Week 2 Discussions and Required Resources

Part 1 and Part 2 must be at least 150 - 200 words unless otherwise

Part 1: Graphical Analysis Techniques 

There are strengths and weaknesses to graphical analysis research techniques. For this discussion, begin by reviewing the technique of graphical analysis in your textbook. Then, keeping this technique in mind, read the following quotes:

· “Errors using inadequate data are much less than those using no data at all.”—Charles Babbage

· “Statistics is the science of variation.”—Douglas M. Bates (1985)

· “All models are wrong, but some models are useful.”—George E. P. Box (1979)

· The greatest moments are those when you see the result pop up in a graph or in your statistics analysis - that moment you realize you know something no one else does and you get the pleasure of thinking about how to tell them.—Emily Oster

https://www.goodreads.com/quotes/search?utf8=%E2%9C%93&q=statistics&commit=Search

Also consider the following ways to make a graph misleading from Misleading Graphs - http://passyworldofmathematics.com/misleading-graphs/ (Passy, 2012):

· “Vertical scale is too big or too small.

· Vertical axis skips numbers, or does not start at zero.

· Graph is not labeled properly.

· Graph does not have a title to explain what it is about.

· Data is left out.

· Scale not starting at zero.

· Scale made in very small units to make graph look very big.

· Scale values or labels missing from the graph.

· Incorrect scale placed on the graph.

· Pieces of a pie chart are not the correct sizes.

· Oversized volumes of objects that are too big for the vertical scale differences they represent.

· Size of images used in pictographs being different for the different categories being graphed.

· Graph being a non-standard size or shape.”

Based on the above quotes, along with this week’s assigned readings and Instructor Guidance, compare graphical analysis with quantitative analysis (a technique you explored last week), and discuss why graphical analysis is important in research. Finally, describe guidelines for using graphical tools to present information clearly and effectively.

Part 2: Examples of Graphical Analysis Techniques in Research

Locate an example of a research study that uses graphs and/or tables in its analysis. Explain what this statistical technique allows the researchers to accomplish and/or conclude in the study. Note: Graphic presentations are most often found in the Results section of a study. 

Required Resources

Text

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics. (17th ed.). Retrieved from http://connect.mheducation.com/class/

The textbook is attached.

· Chapter 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

· Chapter 4: Describing Data: Displaying and Exploring Data

Article

Passy. (2012, March 13). Misleading graphs . Retrieved from http://passyworldofmathematics.com/misleading-graphs/

· This article provides information about graph techniques often used by both advertisers and the media to mislead viewers. It will assist you in your Graphical Analysis Techniques discussion this week.

default image
July 1, 2023
    

Week 2 Discussions and Required Resources

Part 1 and Part 2 must be at least 150 - 200 words unless otherwise

Part 1: Graphical Analysis Techniques 

There are strengths and weaknesses to graphical analysis research techniques. For this discussion, begin by reviewing the technique of graphical analysis in your textbook. Then, keeping this technique in mind, read the following quotes:

· “Errors using inadequate data are much less than those using no data at all.”—Charles Babbage

· “Statistics is the science of variation.”—Douglas M. Bates (1985)

· “All models are wrong, but some models are useful.”—George E. P. Box (1979)

· The greatest moments are those when you see the result pop up in a graph or in your statistics analysis - that moment you realize you know something no one else does and you get the pleasure of thinking about how to tell them.—Emily Oster

https://www.goodreads.com/quotes/search?utf8=%E2%9C%93&q=statistics&commit=Search

Also consider the following ways to make a graph misleading from Misleading Graphs - http://passyworldofmathematics.com/misleading-graphs/ (Passy, 2012):

· “Vertical scale is too big or too small.

· Vertical axis skips numbers, or does not start at zero.

· Graph is not labeled properly.

· Graph does not have a title to explain what it is about.

· Data is left out.

· Scale not starting at zero.

· Scale made in very small units to make graph look very big.

· Scale values or labels missing from the graph.

· Incorrect scale placed on the graph.

· Pieces of a pie chart are not the correct sizes.

· Oversized volumes of objects that are too big for the vertical scale differences they represent.

· Size of images used in pictographs being different for the different categories being graphed.

· Graph being a non-standard size or shape.”

Based on the above quotes, along with this week’s assigned readings and Instructor Guidance, compare graphical analysis with quantitative analysis (a technique you explored last week), and discuss why graphical analysis is important in research. Finally, describe guidelines for using graphical tools to present information clearly and effectively.

Part 2: Examples of Graphical Analysis Techniques in Research

Locate an example of a research study that uses graphs and/or tables in its analysis. Explain what this statistical technique allows the researchers to accomplish and/or conclude in the study. Note: Graphic presentations are most often found in the Results section of a study. 

Required Resources

Text

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics. (17th ed.). Retrieved from http://connect.mheducation.com/class/

The textbook is attached.

· Chapter 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

· Chapter 4: Describing Data: Displaying and Exploring Data

Article

Passy. (2012, March 13). Misleading graphs . Retrieved from http://passyworldofmathematics.com/misleading-graphs/

· This article provides information about graph techniques often used by both advertisers and the media to mislead viewers. It will assist you in your Graphical Analysis Techniques discussion this week.

default image
July 1, 2023
    

Week 2 Discussions and Required Resources

Part 1 and Part 2 must be at least 150 - 200 words unless otherwise

Part 1: Graphical Analysis Techniques 

There are strengths and weaknesses to graphical analysis research techniques. For this discussion, begin by reviewing the technique of graphical analysis in your textbook. Then, keeping this technique in mind, read the following quotes:

· “Errors using inadequate data are much less than those using no data at all.”—Charles Babbage

· “Statistics is the science of variation.”—Douglas M. Bates (1985)

· “All models are wrong, but some models are useful.”—George E. P. Box (1979)

· The greatest moments are those when you see the result pop up in a graph or in your statistics analysis - that moment you realize you know something no one else does and you get the pleasure of thinking about how to tell them.—Emily Oster

https://www.goodreads.com/quotes/search?utf8=%E2%9C%93&q=statistics&commit=Search

Also consider the following ways to make a graph misleading from Misleading Graphs - http://passyworldofmathematics.com/misleading-graphs/ (Passy, 2012):

· “Vertical scale is too big or too small.

· Vertical axis skips numbers, or does not start at zero.

· Graph is not labeled properly.

· Graph does not have a title to explain what it is about.

· Data is left out.

· Scale not starting at zero.

· Scale made in very small units to make graph look very big.

· Scale values or labels missing from the graph.

· Incorrect scale placed on the graph.

· Pieces of a pie chart are not the correct sizes.

· Oversized volumes of objects that are too big for the vertical scale differences they represent.

· Size of images used in pictographs being different for the different categories being graphed.

· Graph being a non-standard size or shape.”

Based on the above quotes, along with this week’s assigned readings and Instructor Guidance, compare graphical analysis with quantitative analysis (a technique you explored last week), and discuss why graphical analysis is important in research. Finally, describe guidelines for using graphical tools to present information clearly and effectively.

Part 2: Examples of Graphical Analysis Techniques in Research

Locate an example of a research study that uses graphs and/or tables in its analysis. Explain what this statistical technique allows the researchers to accomplish and/or conclude in the study. Note: Graphic presentations are most often found in the Results section of a study. 

Required Resources

Text

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics. (17th ed.). Retrieved from http://connect.mheducation.com/class/

The textbook is attached.

· Chapter 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

· Chapter 4: Describing Data: Displaying and Exploring Data

Article

Passy. (2012, March 13). Misleading graphs . Retrieved from http://passyworldofmathematics.com/misleading-graphs/

· This article provides information about graph techniques often used by both advertisers and the media to mislead viewers. It will assist you in your Graphical Analysis Techniques discussion this week.

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