Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics

25 May 2015P. S. DoddsE. M. ClarkS. DesuM. R. FrankA. J. ReaganJ. R. WilliamsL. MitchellK. D. HarrisI. M. KloumannJ. P. BagrowK. MegerdoomianM. T. McMahonB. F. TivnanC. M. Danforth

We demonstrate that the concerns expressed by Garcia et al. are misplaced, due to (1) a misreading of our findings in [1]; (2) a widespread failure to examine and present words in support of asserted summary quantities based on word usage frequencies; and (3) a range of misconceptions about word usage frequency, word rank, and expert-constructed word lists. In particular, we show that the English component of our study compares well statistically with two related surveys, that no survey design influence is apparent, and that estimates of measurement error do not explain the positivity biases reported in our work and that of others... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet