Tab 7 'Negative User Feedback Duration' provides a handy overview of all negative options, broken down into the different factors. Of course, it still matters whether someone reports your page as spam or whether the message is simply clicked away once.
X-button = Do not show the page's comment anymore
Hide clicks = Hide the Facebook page's post from the News Feed
Hide all clicks = Hide all posts from the Facebook page from the News Feed
Report as spam = Report the Facebook page as spam
Sentiment analysis
By adding the number of negative messages to the positive ones, you can see exactly how many 'actions' were taken on the post in question. Instead of the total number of fans on the page, I choose the total number of people reached by that post. If you weigh the positive feedback against the negative, you get a clear sentiment analysis of your posted message.
Fictitious example
This example serves as a calculation example, the measurement is not based on actual figures . On the page of BMW Netherlands with over 35,800 fans, the following message has been placed.
The post reached a total of 20,000 people. The positive feedback on the post is 875, and the negative feedback is 200. In total, 1,075 actions were taken on the post on Facebook.
Positive or Negative Feedback : Total Feedback (both positive and negative) x 100% = Sentiment analysis of the post
200 : 1.075 x 100% = 18.6% negative, and therefore 81.4% positive! taiwan telegram data This message on Facebook has scored relatively positive and can contribute to a higher interactivity on the page. You could even analyze this post on an IPM basis to substantiate it even more firmly.
The Participation Inequality Theory by Nielson (2006) has a hypothesis that a 90-9-1 rule applies within internet culture. Researcher Jakob Nielson states that 1% of online users create content, 9% edit or adjust this content and 90% see the content, without contributing anything. As a company, the challenge is therefore to reach and involve at least that 1% of your target group in your content and to reach at least a part of that 9%. It seems easier than it is to involve the full 10% of your target group in your content, by means of a like, reaction or share. To substantiate the NPM measurement, you can apply this 90-9-1 rule to it, to clearly show which content actually scores well.
Fictitious example
This fictitious example again serves as a calculation example, the measurement is not based on real figures . On the Facebook page of Remia , with over 30,000 fans, the following message has been placed.