Category: Announcement

Looking for a YouTube API Programmer

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I am looking for a programmer familiar with YouTube API to work with me on one of my research projects. The project’s intent is to find out what makes some branded messages (i.e., branded viral videos on YouTube) more popular than others. Thanks to a research grant provided by Empower MediaMarketing, I will be able to pay for the work. Below is a description of what I would like the program to be able to extract from YouTube. If you think you can do this job or if you know someone who can, please contact me. Thank you!

  • What I’m looking for: a program that will connect with YouTube data API to extract information related to a video and a user or a channel.
  • Programming language: YouTube supports JAVA, .NET, PHP, and Python. It doesn’t matter to me what language is used, as long as I can implement it on my end (or through remote access to a central server) to extract data.
  • Types of data to be collected:
  1. Basic initial user/channel information (collected twice, once at the beginning and once at the end, for each channel): Joining time, Location (Hometown, country), Channel views, Total upload views, Number of video uploads, Number of channel comments, Number of subscribers, Number of subscriptions
  2. More sophisticated subscriber information (collected once at the beginning for each channel): Number of the company’s subscribers who are friends with each other or who subscribe to each other, Number of subscribers for each of the company’s subscribers, Number of friends for each of the company’s subscribers, Number of subscriptions for each of the company’s subscribers, The number of common subscription for each pair of the company’s subscribers, The number of common friends for each pair of the company’s subscribers. Alternatively, this can be done by extracting each of the channel subscriber’s subscribers, friends, and subscriptions list and run the calculation later, if data storage is not a problem.
  3. Initial Video Properties (collected once at the beginning for each video): Date posted, Video length, Listed categories, Tags, Descriptions, Initial number of views at the time of sampling
  4. Daily Video Properties (collected daily for each video): Number of views, Number of text comments, Number of video comments, Number of ratings, Average ratings, Number of times favorite
  5. End Video Properties (collected once at the end for each video): Top 10 referral links listed for the video and the number of views associated with each link

I would like to start the project as soon as possible. So please contact me soon if you are interested or can recommend someone. Thanks!

Ping! Is Getting Better

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Blogging for over a year has been a great learning experience for me.  What I have learned has prompted me to think more about what I can write that will provide the best value to my readers.  After devoting much thought to the question, I decided that filling the gap between the academia and marketing practice will be the best area to focus on, and hence the new subtitle “Bridging the Gap Between Academia and Marketing Practice”.  This subtitle reflects the new direction that Ping! will take in the future.  What I intend to do is to discuss cutting-edge marketing and psychology research and its implications for marketing practice, and at the same time bring new trends, questions, and thinking from the practical world back into the academia. Being a marketing academic who also frequently interacts with the industry, I feel particularly compelled and passionate to fulfill this role.

You might be wondering why I am passionate about this.  To list just a few of my reasons:

  • Few academic marketing journals are read by anyone other than academics themselves, so much so that some academic researchers joke that we write for ourselves.  Why is this the case? It has a lot to do with the way we write in the academia and our insufficient discussion of how our research can be applied to business practice.
  • Another contributing factor is the poor publicity that academic marketing journals receive. This is somewhat ironic, and has a lot to do with the lack of funding by many journals to publicize their research.
  • In today’s quickly changing business environment, the academia has sometimes trailed behind in terms of what we are studying and practicing. A case in point: the only academic marketing journal that uses Twitter is the Journal of the Academy of Marketing Science (@JAMS_updates), and even that is to broadcast to the world rather than building a dialogue (it is not following anyone).

The end result of all this is that we academics limit the impact of our hard work and at the same time may spend time on things that are not the most important/relevant to practice.  My intention therefore is to discuss some excellent research that is especially relevant for business, and how a company can apply the findings to improve their marketing practice.  From time to time, I will also talk about business issues that need more academic research on.

With this shift in focus, Ping! will post a new entry every one to two weeks, and each entry will appear on Monday or Tuesday of the week.  Here’s a preview of what is coming up in Ping!:

  • Why companies experiment with Second Life and what they have learned
  • Research on automaticity and what it means to marketers
  • Consumption and sharing of user-generated content

What do you think?  Please feel free to share your thoughts.  If you are a marketing practitioner and would like to see an issue discussed or researched, please feel free to share them here or drop me a note.