SlowGuess/NAACL_2021_OCR huggingface dataset:
Table 64: Fit audience response variables on frames with test F1 > 0.5
log_f favorites	log_retweets
Capacity.and.Resource1	-0.019*** (0.004)	-0.010*** (0.003)
Crime.and.Punishment1	-0.019*** (0.002)	0.017*** (0.002)
Cultural.Identity1	0.024 (0.002)	0.004* (0.002)
Economic1	0.012*** (0.002)	0.017*** (0.002)
Episodic1	0.003*** (0.002)	0.013*** (0.002)
External.Regulation.and.Reputation1	-0.024 (0.004)	-0.001 (0.003)
Fairness.and.Equality1	0.028*** (0.003)	0.021*** (0.002)
Health.and.Safety1	-0.008*** (0.002)	0.016*** (0.002)
Hero..Cultural.Diversity1	0.055 (0.008)	-0.011 (0.006)
Hero..Worker1	-0.010 (0.007)	0.005 (0.006)
Legality..Constitutionality..Jurisdiction1	0.002*** (0.002)	0.019*** (0.002)
Morality.and.Ethics1	0.066*** (0.003)	0.021*** (0.002)
Policy.Prescription.and.Evaluation1	-0.003* (0.002)	0.004*** (0.001)
Political.Factors.and.Implications1	0.007*** (0.002)	0.031*** (0.001)
Quality.of-Life1	0.024 (0.004)	-0.003 (0.003)
Security.and.Defense1	-0.018*** (0.002)	0.013*** (0.002)
Thematic1	0.008*** (0.002)	0.015*** (0.002)
Threat..Fiscal1	-0.017*** (0.003)	0.010*** (0.003)
Threat..Jobs1	0.015*** (0.009)	0.026*** (0.007)
Threat..Public.Order1	0.020*** (0.002)	0.028*** (0.002)
Victim..Discrimination1	0.048*** (0.003)	0.028*** (0.003)
Victim..Humanitarian1	0.007*** (0.003)	0.064*** (0.003)
has_hashtag1	-0.047*** (0.003)	-0.019*** (0.002)
has Mention1	-0.117*** (0.002)	-0.096*** (0.002)
has_url1	-0.298*** (0.003)	-0.168*** (0.002)
is quotation_status1	-0.011*** (0.003)	-0.071*** (0.002)
is_reply1	0.050*** (0.003)	-0.129*** (0.002)
is_verified1	0.667*** (0.005)	0.589*** (0.004)
log_chars	0.327*** (0.002)	0.221*** (0.002)
log_followers	0.318*** (0.001)	0.243*** (0.001)
log_following	-0.123*** (0.001)	-0.087*** (0.001)
log statuses	-0.145*** (0.001)	-0.099*** (0.001)
ideology	-0.047*** (0.001)	-0.007*** (0.0004)
Constant	-0.749*** (0.033)	-0.743*** (0.012)
Observations	1,262,326	1,262,326
Log Likelihood	-1,613,210.000	-1,335,401.000
Akaike Inf. Crit.	3,226,496.000	2,670,878.000
Bayesian Inf. Crit.	3,226,953.000	2,671,336.000
Table 65: Fit audience response variables on only issue-generic policy frames
log_f favorites	log_retweets
Capacity.and.Resource1	-0.028*** (0.003)	-0.011*** (0.003)
Crime.and.Punishment1	-0.010*** (0.002)	0.030*** (0.001)
Cultural.Identity1	0.029 (0.002)	0.001 (0.002)
Economic1	0.008*** (0.002)	0.017*** (0.002)
External.Regulation.and.Reputation1	-0.024 (0.004)	-0.003 (0.003)
Fairness.and.Equality1	0.048*** (0.002)	0.032*** (0.002)
Health.and.Safety1	-0.006*** (0.002)	0.026*** (0.002)
Legality..Constitutionality..Jurisdiction1	0.003*** (0.002)	0.020*** (0.002)
Morality.and.Ethics1	0.069*** (0.003)	0.049*** (0.002)
Policy.Prescription.and.Evaluation1	-0.003 (0.002)	0.003* (0.001)
Political.Factors.and.Implications1	0.006*** (0.002)	0.030*** (0.001)
Public.Sentiment1	0.029*** (0.004)	0.023*** (0.003)
Quality.of.Life1	0.023 (0.004)	0.001 (0.003)
Security.and Defense1	-0.013*** (0.002)	0.019*** (0.002)
has_hashtag1	-0.048*** (0.003)	-0.019*** (0.002)
has Mention1	-0.115*** (0.002)	-0.096*** (0.002)
has_url1	-0.300*** (0.003)	-0.169*** (0.002)
is Quote_status1	-0.009*** (0.003)	-0.070*** (0.002)
is_reply1	0.050*** (0.003)	-0.129*** (0.002)
is_verified1	0.667*** (0.005)	0.589*** (0.004)
log_chars	0.332*** (0.002)	0.228*** (0.002)
log_followers	0.317*** (0.001)	0.243*** (0.001)
log_following	-0.122*** (0.001)	-0.087*** (0.001)
log statuses	-0.145*** (0.001)	-0.098*** (0.001)
ideology	-0.047*** (0.0005)	-0.007*** (0.0004)
Constant	-0.767*** (0.032)	-0.757*** (0.011)
Observations	1,262,326	1,262,326
Log Likelihood	-1,613,329.000	-1,335,820.000
Akaike Inf. Crit.	3,226,718.000	2,671,700.000
Bayesian Inf. Crit.	3,227,079.000	2,672,061.000
Table 66: Fit audience response variables on only issue-specific frames
log_f favorites	log_retweets
Hero..Cultural.Diversity1	0.060*** (0.008)	-0.025*** (0.006)
Hero..Integration1	0.111 (0.005)	0.007 (0.004)
Hero..Worker1	-0.013 (0.007)	0.003 (0.006)
Threat..Fiscal1	-0.013*** (0.003)	0.014*** (0.002)
Threat..Jobs1	0.026*** (0.009)	0.027*** (0.007)
Threat..National.Cohesion1	-0.003*** (0.003)	0.012*** (0.003)
Threat..Public.Order1	0.00003*** (0.002)	0.038*** (0.002)
Victim..Discrimination1	0.075*** (0.003)	0.040*** (0.002)
Victim..Global.Economy1	-0.033 (0.012)	-0.015 (0.009)
Victim..Humanitarian1	0.033*** (0.003)	0.078*** (0.002)
Victim..War1	0.009 (0.014)	0.011 (0.012)
has_hashtag1	-0.046*** (0.003)	-0.018*** (0.002)
has Mention1	-0.117*** (0.002)	-0.097*** (0.002)
has_url1	-0.302*** (0.003)	-0.166*** (0.002)
is quote_status1	-0.005*** (0.003)	-0.069*** (0.002)
is_reply1	0.054*** (0.003)	-0.130*** (0.002)
is_verified1	0.661*** (0.005)	0.588*** (0.004)
log_chars	0.335*** (0.002)	0.243*** (0.002)
log_followers	0.318*** (0.001)	0.243*** (0.001)
log_following	-0.123*** (0.001)	-0.087*** (0.001)
log statuses	-0.146*** (0.001)	-0.098*** (0.001)
ideology	-0.047*** (0.001)	-0.007*** (0.0004)
Constant	-0.775*** (0.033)	-0.808*** (0.012)
Observations	1,262,326	1,262,326
Log Likelihood	-1,613,485.000	-1,335,947.000
Akaike Inf. Crit.	3,227,023.000	2,671,949.000
Bayesian Inf. Crit.	3,227,349.000	2,672,274.000
Note:
$^{*}\mathrm{p} <   0.05$ $^{**}\mathrm{p} <   0.01$ $^{**}\mathrm{p} <   0.005$
Table 67: Fit audience response variables on only narrative frames
log_f favorites	log_retweets
Episodic1	0.006*** (0.002)	0.014*** (0.002)
Thematic1	0.014*** (0.002)	0.026*** (0.002)
has_hashtag1	-0.046*** (0.003)	-0.016*** (0.002)
has Mention1	-0.117*** (0.002)	-0.098*** (0.002)
has_url1	-0.303*** (0.003)	-0.165*** (0.002)
isQuote_status1	-0.006*** (0.003)	-0.070*** (0.002)
is_reply1	0.051*** (0.003)	-0.134*** (0.002)
is_verified1	0.665*** (0.005)	0.586*** (0.004)
log_chars	0.338*** (0.002)	0.243*** (0.002)
log_followers	0.317*** (0.001)	0.242*** (0.001)
log_following	-0.122*** (0.001)	-0.087*** (0.001)
log statuses	-0.145*** (0.001)	-0.097*** (0.001)
ideology	-0.052*** (0.0005)	-0.008*** (0.0004)
Constant	-0.792*** (0.032)	-0.818*** (0.012)
Observations	1,262,326	1,262,326
Log Likelihood	-1,614,099.000	-1,336,791.000
Akaike Inf. Crit.	3,228,233.000	2,673,619.000
Bayesian Inf. Crit.	3,228,450.000	2,673,836.000
Note:
$^{*}\mathrm{p} <   0.05$ $^{**}\mathrm{p} <   0.01$ $^{**}\mathrm{p} <   0.005$