@theSteinTimes Top 10 Tweets

Posted on by Matthew Weinstein

Through the course of the entire semester, I began to grasp and understand how to better manage ‘social media’. At the beginning, only a few short months ago, there is no denying that I was wary of social media in general and tried to keep myself away and my personal information safe. Sitting here, typing away at my Top 10 tweets on Twitter, I feel more confident and have a better grasp of how to handle myself and now see a path through the thicket of social media. Now check out below, the top 10 tweets of the twitter handle @theSteinTimes.

 

   Impressions: 2,644 Total Engagements: 200 Engagement Rate: 7.6%

The relevancy and wide impact of this event on the entire United States made this shooting prominent in headlines around the world. I came to the decision to tweet out content on the mass shooting because I want to conquer my fear of criticism that can arise from social media. By using the most dominant hashtag on Twitter and reaching out to two international publication by means of twitter handles, this tweet stand above the rest in engagement.

Impressions: 2,430 Total Engagements: 7 Engagement Rate: 0.3%

I believe what establishes this tweet is the fact of the specific type of media variety within the tweet. The link leads to the seminar presentation Ethan Zuckerman gave at Syracuse University.  The #nhsmc played a strong part in increasing impressions but overall the engagement rate is low. May be due to the fact that it is educational and education it is possible that it is tougher to get that trending on social media.

Impressions: 1,874 Total Engagements: 54 Engagement Rate: 2.9%

Immediately once news broke on December 2 of a shooting in San Bernardino, CA I began to conduct extensive research as to why the Inland Regional Center may have been targeted. The IRC is a privately-operated health rehabilitation center. I believed if users could see the purpose of the IRC then maybe better dialogue and understanding as to why it happened there could occur. By using the top two trending hashtags on social media and then  embedding the twitter handles of a reporter and a local news  station covering the scene, I immediately brought my tweet to the locals of California and across the web.

Impressions: 1,789 Total Engagements: 97 Engagement Rate: 5.4%

This tweet surprised me. In the days following the Paris Attacks led by ISIL terrorists, operations were being conducted across Europe to take down the next threat before it could begin. I tweeted about the sole loss of life in the #SaintDenis operations because I did not find it in some of the most prominent publications including the New York Times, BBC and the Washington Post. I love dogs. I can only guess that the reason this tweet went so well it because of the shared emotional connection between other dog lovers and myself.  By means of hashtag tracking and embedded photography of Deisel this tweet trended and had many ‘re-tweets’ and ‘likes’ over a lengthy period of time.

Impressions: 1,458 Total Engagements: 124 Engagement Rate: 8.5%

On October 15 there was a shootout with the Syracuse Police and two criminals in a  suburb in close proximity to Syracuse University. Due to concerns for student safety, a Orange Alert was issued across campus. Telling all students to remain indoors for your safety. Of course, I ignored that. By using the key content words, “Live-tweeting,” and adding in the official Syracuse University twitter handle, I was able to reach all concerned students and adults looking to twitter for the answers they couldn’t find quicker anywhere else. The content, shared emotion and relevancy shared across the community drove this tweet up the charts and is my last tweet with over a thousand impressions and holds the most total engagements of any tweet I have ever made.

 

Impressions: 602   Total Engagements: 25   Engagement Rate: 4.2%

This tweet is quite obviously promotional. By me supporting a outside project, run by students here at Syracuse University, through trending hashtags, embedded content that catches that eyes of users and attaching the promotional group behind the project I turned a rather possibly boring tweet into one of my top 10 all-time tweets of the fall semester.

Impressions: 531 Total Engagements: 6 Engagement Rate: 1.1%

The only solid analysis to take away from the the tweet above is the use of a popular hashtags. #BigData is my tool and by understanding hashtag trends I was able to share a positive message about the use of #BigData. It is worth noting, I was added to three twitter lists surrounding the theme of big data due to this tweet.

Impressions: 337 Total Engagements: 35 Engagement Rate: 10.4%

While this is sitting at the lower end of my top ten tweets, its engagement rate is one of the highest. This is due to the embedded content that is  sharing information that relates to all my fellow #nhsmc users. I am able to reach the #nhsmc users by using the popular hashtag mentioned a few times already, #nhsmc.

Impressions: 214 Total Engagements: 13 Engagement Rate: 6.1%

In this tweet, cross social media promotion, embedded content and trending hashtags are the successful variables elevating this above the hundreds of others of tweets I own. The twitter user @HC_Blatt is a fellow student and we combined our social networks when we both choose to tweet about the above content and re-tweet it to each of our own group of followers.

Impressions: 170   Total Engagements: 14   Engagement Rate: 8.2%

Last but not least, reaching out to a young influencer on social media can help bring up total engagement on Twitter. And including a trending hashtag drove this tweet to round out my top 10.

Conclusion: In examining the top 10, there are few  consistencies that become apparent. Chief among them, relevancy, embedded content, usage of proper hashtags that are trending and a shared emotional connection by individuals across social media are the driving force behind my best tweets of the 2k15 fall semester. Consistency and repetition as well, is it important to note that my #1 tweet is actually an update of an earlier tweet hours beforehand.

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