Showing posts with label twitter. Show all posts
Showing posts with label twitter. Show all posts

Monday, June 4, 2012

The Conservative/Libertarian Echo Chamber on Twitter

Lately I've noticed many many free market think tanks showing up on my "Suggested People to Follow" list on Twitter. I'm not sure if this is because the Twitter suggestion algorithm has improved to better reflect my interests, or these organizations have been beefing up their efforts in preparation for the electoral cycle, or some of both.

I was curious how many of these free market think tanks are following each other. So I used some social network analysis tools to plot out what those follower relationships look like. I was hoping to see a diverse cast of players, connected perhaps by region or common interests. What I got instead was a hairball.

Friday, May 25, 2012

Twitter List Networks, Part 2: Spammers

As a point of comparison with my last post, here's another network of Twitter lists.

Instead of using my main account, this was built from a separate "follow-back" account I check on occasionally, which posts no genuine content whatsoever. All the accounts listing it are themselves follow-back bots or promotional accounts (lots of rappers and penny stock experts represented).

The "follow back" hairball.

I'm going to guess this is what happens when there are lots of accounts using some auto-listing utility. When compared to a network structure based on actual common interests instead of strategic Twitter-usage, the difference is striking.

Thursday, May 24, 2012

Are Twitter Lists another social network?

Twitter has a "List" feature, which allows users to organize their followers, or view tweets from only a select group. Until recently, the number of lists following each Twitter account was visible on that person's homepage, but that changed in the most recent overhaul of the Twitter interface.

Lists are now much less visible in the average Twitter user's experience. This leads me to wonder, do Twitter lists follow the pattern of other social networks? Did the change even make any difference? With NetworkX and some fiddling around on the Twitter API, I was able to answer that question.

Tuesday, May 22, 2012

Promoted Accounts on Twitter, the Great Enigma

For a class project (CSS692/ECO895, Social Network Analysis) my group - Kevin May, Echo Keif and I - took on a project a almost bigger than we could chew: identifying astroturf on Twitter. It turned out to be more ambitious than we realized, but even starting with a low level of technical sophistication we were able to find some interesting results.

What is astroturf? While most social movements are said to resemble a "grassroots", sometimes wealthy organizations will attempt a "cashroots" strategy instead - paying for people to spread a pre-chosen message. This has been a problem since the dawn of democracy, but social media has given many more opportunities for astroturfing.

The Truthy Project is one attempt to track how online memes spread, and distinguish authentic movements from fabricated ones. However, there still isn't much agreement on what an astroturfer looks like, compared to a genuine grassroots movement.

We focused on Twitter for our project. The recently unveiled Promoted Accounts feature, used by Twitter to generate revenue, might uncharitably be described as a tool for astroturfing. Promoted Accounts are put at the top of the "Who To Follow" list shown to each Twitter user, but otherwise not tracked or recorded in a publicly accessible way. Our goal was to identify common characteristics of Promoted Twitter accounts, and thereby develop a profile of what an astroturfer might look like.

Saturday, May 12, 2012

Fun with Twitter Metrics

Using tweepy I've been looking at the characteristics of my Twitter following. I found these histograms pretty interesting.

The first shows how many people my followers are following and followed by. (The x-axis is the relevant number, the y-axis shows how many incidences of that number of friends/followers occur).

Followers (Blue) and Following (Green).

Next is the number of status updates posted. Looks like lots of my followers haven't tweeted much at all! It's a dilemma: do I unfollow them for being inactive? But, because the inactives aren't tweeting, they aren't flooding my timeline with stuff I don't want to read, either... Twitter-vanity might make me keep them, just so that whatever bot is running those accounts doesn't unfollow me.

Status Count.

Finally, number of favorite tweets by user. Lots of people don't seem to use the "Favorite" function of Twitter at all. I probably have less than 10 tweets I've marked as "Favorite" (it seems like such a commitment). It's nice to be able to tag a link or something worth going back to later, so I'm glad Twitter has this feature... even though it is, apparently, hardly used.

Favorite Tweets.

Then there are a few accounts at the far right of the distribution with lots of favorites. What's going on here?

Generally the distributions resemble a power law, which is not surprising when looking at social networks.

Twitter metrics will be an ongoing project, so this is just the beginning. If you find this stuff interesting, check back in a few days.

Thursday, March 22, 2012

First Textbook in Social Media Marketing

Blatant self-promotion, but I can't resist.

(c) Cengage Learning 2013.
The book that I helped write is now in print. Find it here. Many thanks to my co-authors as well as the professionals at Cengage Learning for making this possible.

While intended to accompany a college- or graduate-level marketing course, I think this text does a pretty good job of encapsulating the advice that can be found in other prominent trade books, in addition to presenting some original and innovative material (I'm especially proud of Chapter 3). As far as I know, it's the most thorough treatment of social media marketing that can be found in one place. A boon to students and aspiring professionals alike. A magnum opus indeed.

Hyperbole aside, I'm very pleased with how the book turned out. I hope that some other people are able to derive utility from it as well.

Monday, February 7, 2011

How to Gain Twitter-Fame for Penny Stock Advice, with no Skill, Knowledge (or Profits) Required.

Along with upcoming rappers, Bieber fans, and ad-bots there’s a rash of penny stock advice to be found on Twitter. At first I dismissed it as one of many eccentricities of the platform, but after seeing a few dozen assorted “penny stock” accounts I started to wonder. What could explain these accounts peddling advice on securities that most investors wouldn’t line a litter-box with?

So-called "penny stocks" may range in cost from a few dollars to a fraction of a cent. For example, instead of buying one share of IBM at $164.68, it would be possible to instead purchase 4,450 shares of Double Eagle Gold Holdings (DEGH) at $.037 per share (amusingly, both stocks are currently near their respective peak historical values). DEGH had been running at an average price of about $.003 for most of the last year. If an investor had a crystal ball and could foresee this recent ten-fold run up in price, there would have been a lot of money to be made; therein lies the temptation of penny stocks.

Of course, anyone who actually had that crystal ball and put it to use in the market would be far too rich to bother with running a Twitter account. So why are there hundreds of penny stock tweeters out there? To explain, here is a theory of how ANYONE can appear blessed with penny stock clairvoyance.


The Five-Step Guide to Achieving Twitter-fame with Penny Stock Advice:

Step 1: Pick out 100 penny stocks at random, and buy $10 worth in each of them for a total cost of $1,000 plus brokerage fees (or, if you’re cheap, just consistently follow the prices of 100 penny stocks).

Step 2: Wait. As is normal for inexpensive and highly volatile stocks, the price of some will go up dramatically and others down equally dramatically.

Step 3: Ignore the stocks that go down. Out of the 100, by random chance you’re almost assured to see one go up every now and then. Get on Twitter and brag about how well your picks in the stocks that went up are going.

Step 4: Construct self-promotional statistics to describe how well an investor could have done if they had known exactly when these volatile stocks would move up and down, then tweet about anyone can generate “POTENTIAL 237% PROFITS!!!” based on your expert advice.

Step 5: Bask in fame and adulation. If you are lucky, people will buy a subscription to your newsletter. Or, if they follow your advice, it will drive up the price of penny stocks you own. Then sell off the penny stocks that went up due to your “wisdom” and leave your followers to eat the losses as the stock shifts back down. 


I can’t verify that every penny stock tweeter uses this self-serving strategy. However, it’s the only way I can think of making money off penny stocks, so I’d guess that a large ratio of those Twitter accounts have something like this in mind.

In the time it took me to write the above, DEGH – which I noticed as a result of a penny stock tweet – has dropped 35%. IBM, on the other hand, changed 0.30% in that hour. In a nutshell, this is why investing in penny stocks is probably not a good idea: you get all the risk of stock market speculation without much stake in any real value (or else why is the stock so cheap?). Markets tend to be efficient and integrate available information into stock prices, so when a stock costs a fraction of a cent, it’s probably because many people rate its investment value somewhere near a lottery ticket.


The DEGH rollercoaster, courtesy of Google Finance. Notice the peak, then sudden drop at the end.

To make matters even worse, even if you successfully buy low and sell high with penny stocks – a difficult proposition, given how quickly the values change – you’ll be eaten alive in brokerage fees. For the example above, even if one used a discount brokerage like Scottrade, the cost of each purchase would be a $7 flat fee – making a $1,000 investment cost a total of $1,700. It would take a crystal ball, extraordinary luck, or loads of self-serving information delivered to a mass audience in order to generate enough returns to cover that cost. When you see someone giving investment advice on Twitter, mentally ask which of those three categories you think they fall into.



Note: for entertainment purposes only. I’m not dispensing investment advice; the stocks named were solely for example purposes, not as endorsement. If you’re reading this and run a penny stock service I’m sure you’re the exception to the above, and love children, flowers, kittens and your advisees all equally and would never pull such a scam on them. I’m just writing about your competition. But I would awfully like to peak at your crystal ball sometime when you get a chance.

Wednesday, September 15, 2010

The reason why 99.8% of all 'get rich instantly on Twitter' claims are hoaxes.

I purposely exclude 0.2% of 'make-money-off-Twitter' plans from the "hoax" category, because I'm sure some very smart person out there will go and prove my generalization wrong. Until that blue moon arrives, I'll explain why all the Tweet-gurus offering to make you big bucks for doing nothing are just yanking your chain.

Not familiar with the "instant money on Twitter" phenomenon? In my endless quest for self-publicity, I've stumbled across a lot of statuses like
"Making $500 dollars per week from home off Twitter while on autopilot. Come see how!!!!" 
or similar. Sounds appealing, but is it too good to be true? Yes, yes it is. Some economic thinking can reveal why.

1)  There are no barriers to entry on Twitter. All it takes is an e-mail address and lack of respect for grammar (just kidding) and you can start a Twitter account. Economists would describe this as an open market. Entry and exit are free, and there are are large number of Twitter users - over 75 million now - but that number could easily grow (or decline) in the future.