The Top 100 People To Follow For Financial News On Twitter, January 2019

It’s been more than a year since we posted our last list of people to follow on Twitter for financial news. Time for an update!

Without further ado, here is this year’s list (click on headers to re-sort):

Rank Screen Name Name Influence Score Relevance Score Order by Topic 1 pdacosta Pedro Nicolaci da Costa 6.78 7.39 149 2 TheStalwart Joe Weisenthal 10.0 2.48 122 3 ReformedBroker Downtown Josh Brown 8.87 2.99 87 4 ritholtz Barry Ritholtz 7.68 4.1 86 5 felixsalmon Felix Salmon 8.82 2.73 470 6 Noahpinion Noah Smith 5.12 6.07 310 7 Frances_Coppola (((Frances Coppola))) 3.64 7.48 49 8 hblodget Henry Blodget 6.43 4.59 252 9 crampell Catherine Rampell 5.26 5.34 338 10 sdonnan Shawn Donnan 3.23 6.94 366 11 moorehn Heidi N. Moore 3.96 6.06 401 12 paulkrugman Paul Krugman 6.91 2.44 358 13 M_C_Klein Matthew C. Klein 7.45 1.74 333 14 davidmwessel David Wessel 5.96 3.22 364 15 matt_levine Matt Levine 8.36 0.81 121 16 tracyalloway Tracy Alloway 8.45 0.62 123 17 IvanTheK Ivan the K™ 5.78 3.29 263 18 edwardnh Edward Harrison 4.01 4.75 146 19 Nouriel Nouriel Roubini 6.29 2.42 183 20 BCAppelbaum Binyamin Appelbaum 6.98 1.7 351 21 carlquintanilla Carl Quintanilla 5.19 3.33 261 22 acrossthecurve across the curve.com 0.92 7.53 131 23 MarkThoma Mark Thoma 5.09 3.27 317 24 AdamPosen Adam Posen 4.18 4.07 295 25 JustinWolfers Justin Wolfers 6.75 1.48 356 26 jennablan Jennifer Ablan 5.48 2.75 162 27 elerianm Mohamed A. El-Erian 5.85 2.15 151 28 tomkeene tom keene 7.09 0.87 148 29 CardiffGarcia Cardiff Garcia 6.57 1.31 332 30 jasonzweigwsj Jason Zweig 6.28 1.56 114 31 delong Brad DeLong 🖖🏻 5.2 2.62 345 32 ObsoleteDogma Matt O’Brien 6.6 1.23 355 33 greg_ip Greg Ip 6.67 0.94 107 34 RobinWigg Robin Wigglesworth 5.5 2.1 5 35 JacobWolinsky Jacob Wolinsky 2.29 5.31 238 36 TimOBrien Tim O’Brien 2.94 4.63 442 37 izakaminska Izabella Kaminska 7.34 0.1 178 38 tylercowen tylercowen 5.62 1.8 307 39 NateSilver538 Nate Silver 6.52 0.87 344 40 jbarro Josh Barro 4.7 2.65 339 41 jessefelder Jesse Felder 2.04 5.23 130 42 ezraklein Ezra Klein 6.0 1.26 340 43 EddyElfenbein Eddy Elfenbein 4.16 3.05 138 44 johnauthers John Authers 6.08 1.13 1 45 TabbFORUM TabbFORUM 0.2 7.0 42 46 AmyResnick Amy Resnick 2.32 4.75 394 47 activiststocks Activist Stocks 0.81 6.13 198 48 eisingerj Jesse Eisinger 4.77 2.14 435 49 TimHarford Tim Harford 4.37 2.47 14 50 Neil_Irwin Neil Irwin 6.1 0.71 350 51 Jesse_Livermore Jesse Livermore 4.69 1.97 89 52 carney John Carney 5.72 0.91 265 53 mims Christopher Mims 🎆 3.46 3.13 448 54 conorsen Conor Sen 3.96 2.61 142 55 lisaabramowicz1 Lisa Abramowicz 4.32 2.16 128 56 JohnCassidy John Cassidy 3.92 2.55 441 57 economistmeg Megan Greene 5.12 1.34 292 58 Austan_Goolsbee Austan Goolsbee 4.67 1.78 357 59 lopezlinette Linette Lopez 2.75 3.7 264 60 prchovanec Patrick Chovanec 2.2 4.22 279 61 mark_dow Dow 5.23 1.18 262 62 DLeonhardt David Leonhardt 5.72 0.65 354 63 niubi Bill Bishop 2.35 3.89 275 64 interfluidity Steve Randy Waldman 4.4 1.84 304 65 karaswisher Kara Swisher 3.55 2.68 453 66 tomgara Tom Gara 2.45 3.74 375 67 Convertbond Lawrence McDonald 5.48 0.64 135 68 AlephBlog David Merkel 2.13 3.96 129 69 SamRo Sam Ro 3.9 2.19 137 70 katie_martin_fx Katie Martin 4.51 1.54 23 71 JimPethokoukis James Pethokoukis 3.59 2.44 368 72 EpicureanDeal TED 3.05 2.97 411 73 TimDuy Tim Duy 3.18 2.83 144 74 abnormalreturns Tadas Viskanta 4.78 1.22 94 75 ianbremmer ian bremmer 4.95 0.92 284 76 rortybomb Mike Konczal 3.92 1.94 303 77 matthewstoller Matt Stoller 1.79 4.07 378 78 georgemagnus1 George Magnus 3.87 1.98 281 79 Alea_ JC Kommer 1.87 3.96 170 80 ModeledBehavior Adam Ozimek 3.55 2.24 325 81 PekingMike Mike Forsythe 傅才德 1.21 4.57 287 82 kadhimshubber kadhim (^ー^)ノ 2.16 3.59 27 83 morningmoneyben Ben White 3.89 1.83 428 84 NinjaEconomics Ninja Economics 2.17 3.54 312 85 BaldwinRE Richard Baldwin 2.45 3.25 297 86 valuewalk ValueWalk 3.49 2.2 197 87 LaurenLaCapra Lauren Tara LaCapra 2.17 3.52 404 88 ryanavent Ryan Avent 5.04 0.63 331 89 D_Blanchflower Danny Blanchflower 3.28 2.36 150 90 danprimack Dan Primack 3.97 1.67 475 91 cullenroche Cullen Roche 4.58 1.03 88 92 scottlincicome Scott Lincicome 1.11 4.46 367 93 MikeIsaac rat king 2.58 2.87 454 94 jmackin2 James Mackintosh 4.81 0.64 17 95 LorcanRK Lorcan Roche Kelly 4.93 0.51 67 96 alex in Providence alex 0.72 4.72 477 97 MattGoldstein26 Matthew Goldstein 2.65 2.79 431 98 AnnPettifor Ann Pettifor 2.52 2.88 50 99 modestproposal1 modest proposal 3.91 1.48 243 100 rodrikdani Dani Rodrik 4.26 1.12 318

A word about methodology:

1) Start with a few highly-followed accounts, e.g.: pdacosta,TheStalwart,ReformedBroker,ritholtz,felixsalmon

2) Determine who they follow! Traverse the Twitter graph using the API.

3) From these 5 people you can get a pretty great starting list:

  • About 14,700 users
  • But only 112 users who are followed by all 5, or 4 out of the 5

4) That would be a great place to start, but we can do a little better:

  • Cull the non-financial users, like darth or <insert political figure>
  • Iterate and create a new Twitter graph starting from the users remaining

In general, from a given list of users, get a better list by

1) First expanding it, by finding who these users follow

2) Then ranking and filtering the new list by

  • Influence: how many people in the list follow them, and recursively how influential they are (PageRank)
  • Relevance: how frequently they post financial content (financial sites, tickers, topics, and recursively, items that hit the StreetEYE frontpage)
  • Timeliness: how often they are first to post something that later gets popular

Iterate a few times, and you get a pretty good list of people to follow.

In the past I’ve generated a graph of the users, and this year I really went ham on it and created this magnificent beast:

If you click here you can explore the graph interactively:

  • Roll over and get detailed info on each FinTwit personality
  • Word cloud
  • 3 most similar accounts, using topic analysis of what they post about, who they share same URLs as, who they follow and are followed by. P.S. I LOVE THIS FEATURE!
  • Each user’s most frequently shared domains, hashtag, tickers, other FinTwitterers they mention

I hope this helps everyone find great new FinTwit BFFs to follow.

It’s always a bit arbitrary, where to cut off people who aren’t relevant. Some people may find the influential tech or political accounts a bore, but I try to find a balance.

The biggest problem is churn. There are some people who are highly followed who don’t really post relevant stuff any more. There are people who are pretty relevant but it takes a very long time to break through and get influential. I could expand the panel, but the more you expand it the more the common denominator is… all Trump all the time.

Then, I guess I could use topic analysis to try to downvote Trump and politics… use noise cancellation to determine what is popular out in the broad population and penalize it … but it’s turtles all the way down the rabbit hole.

That’s it! If you’re looking for top blogs for your daily list or Feedly reader check out the July listicle of the most shared financial blogs.

Not to be too thirsty but if you like it don’t hesitate to share!

(Never say never again, but very probably never doing this graph again. Fun mad science, but disproportionately time-consuming. Twitter makes the API more restrictive every year, knucklehead sites block me, the graveyard is full of algorithmic news apps and news bots. C’est la vie!)