Comments on: Data Shows that Negative Remarks Lead to Fewer Followers

By: How to Grow a Strong Twitter Network Through Great Content, Human Voice & Blocking the Bums « Adam P. Coulter: Conduit for Young Communicators

Thu, 02 Sep 2010 18:18:34 +0000

[...] Tweet positive. Being negative on here doesn’t fly too well and will scare people away. Also related to this is to practice being altruistic. A great example [...]

By: Manjunath D S

Manjunath D S — Sat, 03 Jul 2010 15:25:25 +0000

It is not a surprise how online behavior follows offline behavior. Most do not like negative response and put people away from those making negative personalities. Thanks for sharing.

By: July 2010 | In this issue | Wylie's Writing Tips

July 2010 | In this issue | Wylie's Writing Tips — Sun, 27 Jun 2010 17:13:40 +0000

[...] Be positive. Writing about sadness, aggression, morbid thoughts and negative emotions and feelings correlates with fewer followers. (What a shock!) So if you want more followers, cheer up. [...]

By: john143

john143 — Thu, 10 Jun 2010 16:58:50 +0000

thanks for posting this, was really useful and interesting to me.

By: john143

john143 — Thu, 10 Jun 2010 16:58:44 +0000

Loved Reading this post, many thanks for the information.

By: Launching a site? Five tips to get you off on the right foot » Nieman Journalism Lab

Wed, 26 May 2010 18:02:15 +0000

[...] clickthroughs and retweets. As it turns out, some evidence supports our anecdotal data: Dan Zarella tracked 100,000 Twitter accounts and discovered that negative comments, sad, aggressive or morbid, resulted [...]

By: Creative Concepts - Is Your Brand a Good Friend?

Creative Concepts - Is Your Brand a Good Friend? — Wed, 26 May 2010 10:04:56 +0000

[...] you need some statistics to help us prove that point, check out what Dan Zarrella discovered about the power of negative tweeting. (Hint: it’s not [...]

By: Maciej Stachowiak

Maciej Stachowiak — Tue, 23 Feb 2010 05:48:43 +0000

we did platform that analyze Tweets constantly for certain phrase – like company name. Our analytical model takes into consideration 4.800+ sentiments describing emotions [not only bad ].

I do publish analysis for phrase 'Buzz' in my Google Buzz profile:
http://www.google.com/profiles/maciej.stachowia...

By: Promotional Products

Promotional Products — Mon, 15 Feb 2010 19:36:27 +0000

I'm in the same boat on this one… I like the idea and it makes a whole lot of sense to me, but almost too much sense. Of course no one wants to be peppered by negative ideas all the time. But I am appreciative of the information to back it up.

By: Mike Stenger

Mike Stenger — Sun, 14 Feb 2010 22:11:20 +0000

Hey Dan,

This is some great data, however, to me this is pretty obvious. Yeah, the majority of people don't like negative people and those who tend to be more negative. Some do but most of us prefer to follow someone else. Seems like common sense to me but good data nonetheless Dan.

By: Zack Covell

Zack Covell — Sat, 13 Feb 2010 02:56:05 +0000

Tweets a very different from Emails which are very different from Facebook.

So; regardless of the emotion associated with the message or webpage, the platform in that peeps read the msg. will determine what is acceptable for emotional messages...

I find whenever I send out an email about Mike Dillard I get more click than anything. I've even sent out free ebooks (that I wrote) to my list and had zero clicks to it (and it provides REAL value), but no one found the ebook in the first place. Then on the same day my Mike Dillard emails were clicked like crazy.

Sometimes I feel like using the Internet to share my knowledge and excitement is a popularity contest.

By: Friday Recap: SEO Olympics — Love, Flips and Tricks Edition « Savvyhua

Friday Recap: SEO Olympics — Love, Flips and Tricks Edition « Savvyhua — Sat, 13 Feb 2010 02:11:01 +0000

[...] look on the bright side of life. According to analysis by social media marketer Dan Zarella, negative remarks expressed on Twitter may result in fewer [...]

By: michaeldaehn

michaeldaehn — Fri, 12 Feb 2010 22:58:57 +0000

Anecdotal evidence:

I started a blog called Marketing that Sucks. I thought it would be fun to lampoon bad marketing. I also started a counter blog called Marketing that Rocks, just in case I found people doing it right. Much to my surprise the latter was much more popular.

It is easier to be negative. Also people are usually looking to learn how to be better and search for the positive when gathering information. I try to show what people are doing right now and find I get a better response.

philanthr.org

By: Bertil

Bertil — Fri, 12 Feb 2010 15:37:00 +0000

Great to see that yours comments sound more and more like an academic seminar. Because we are there, let's adress causality: try to work with a unfollowing tracker to see what were the latest comments before someone goes away. (And try to compare that with how was mentionned someone getting new followers.)

I'd love to have more categories in “negative”: sad, bitching, dark humour, etc. I'm assuming that twitter offers statistically significant proportion of each of those — hence my surprise to see the jagged line. You might want to pool twitterers by categories, especially beyond 4000 followers, to smooth out the curve — and use a log-scale to match. I'd love to see ratio of negative, negative to positive, and total number of negative twits — or at least you saying which is most significant.

By: What’s with the Negative Remarks. : code name max

What’s with the Negative Remarks. : code name max — Fri, 12 Feb 2010 13:14:22 +0000

[...] Article: Data Shows that Negative Remarks Lead to Fewer Followers [...]

By: Data Shows that Negative Remarks Lead to Fewer Followers | Dan Zarrella « Wala`au Media's Blog

Fri, 12 Feb 2010 13:05:27 +0000

[...] Data Shows that Negative Remarks Lead to Fewer Followers | Dan Zarrella via danzarrella.com [...]

By: devonjordan

devonjordan — Fri, 12 Feb 2010 04:50:09 +0000

Interesting chart Dan, but i have a few questions. Forgive me if you have answered them elsewhere.
First, who is the 100k sample? In talking this out with a friend of mine, and looking at tweetpsych, we came to the conclusion that your sample comes from people voluntarily submitting to tweetpsych. I was wondering if this may create a bias in your data, as tweetpsych came from you, therefore most of your data would come from people who are at least social media saavy.
Second, and this is based on an assumption that a computer is deciding what a “Negative Remark” is, did you account for sarcasm/dark humor/irony, I cant imagine a computer can pick that up.

The message behind your graph is a sound one, happy tweets make for happy/more followers and "nobody likes to follow a Debbie Downer." Its just the how you came to that conclusion that irks me a bit.

But like Nate said, if this just leads to more cheerful tweets, I'm happy with that.

By: Nate Davis

Nate Davis — Fri, 12 Feb 2010 04:08:44 +0000

Thanks for the chart Dan; I'd be interested to see a follow-up post detailing methodology/context, because while of course people like @scobleizer and @guykawasaki and @zappos tend to be generally positive, I would suspect that there are plenty (especially in the entertainment sphere) who use negativity for comedic effect. Also, did you end the graph at ~8k followers because of insufficient sample size above that? I know little about statistics, so pardon me if for such reasons @aplusk and so forth can't be included, but that's unfortunate because those folks have such a significant influence on the medium.

Also, I have to agree with Alex's point about correlation ≠ causation. Now of course nuanced, qualified statements like "Data show correlation between negativity and fewer followers) are not the way to get pageviews and retweets, sadly (I think the internet encourages sloppy logic), but coming from someone who calls himself a scientist, that sort of semantic fudgery is disappointing.

But hey, if a bunch of casual retweeters conclude from this that they should be more cheerful on Twitter, I suppose the world's a better place.

By: links for 2010-02-11 « innovations in higher education

links for 2010-02-11 « innovations in higher education — Fri, 12 Feb 2010 03:08:24 +0000

[...] Data Shows that Negative Remarks Lead to Fewer Followers (tags: socialnetworking twitter facebook negativity tips) Twitter Updates [...]

By: SearchCap: The Day In Search, February 11, 2010

SearchCap: The Day In Search, February 11, 2010 — Thu, 11 Feb 2010 23:18:39 +0000

[...] Data Shows that Negative Remarks Lead to Fewer Followers, danzarrella.com [...]