Table A2 Topics extracted using LDA.... | Emerald Publishing

Table A2

Topics extracted using LDA.

Topic ID	Topics
1	0.017* “trump” + 0.011* “health” + 0.009* “president” + 0.008* “national” + 0.007* “public” + 0.006“guard” + 0.004“house” + 0.004“news” + 0.003“world” + 0.003*“former”
2	0.010“news” + 0.010“april” + 0.008“health” + 0.006 “vitamin” + 0.005“national” + 0.005“york” + 0.004“trump” + 0.004“last” + 0.004“fox” + 0.004“president”
3	0.010* “health” + 0.008“trump” + 0.006 “chínese” + 0.006“news” + 0.005 “president” + 0.005“last” + 0.004“government” + 0.004“public” + 0.004“china” + 0.004*“world”
4	0.013“april” + 0.008“march” + 0.007“news” + 0.005 “member” + 0.005“last” + 0.005“health” + 0.005“york” + 0.004“december” + 0.004* “January” + 0.004*“first”
5	0.019* “health” + 0.011“house” + 0.010“national” + 0.007“world” + 0.007 “committee” + 0.006“public” + 0.006“congress” + 0.006“president” + 0.006“law” + 0.006*“york”
6	0.018* “health” + 0.009“news” + 0.007“trump” + 0.006“president” + 0.005“house” + 0.005“april” + 0.005 “county” + 0.005“public” + 0.004“government” + 0.004*“rate”
7	0.007“york” + 0.006“health” + 0.005“april” + 0.005“death” + 0.004“rate” + 0.004“trump” + 0.004“president” + O.OO4“world” + O.OO4“news” + O.OO4“last”
8	0.005* “health” + 0.005“april” + 0.004“vitamin” + 0.004* “president” + 0.004“york” + 0.003“public” + 0.003“news” + 0.003“house” + 0.003“trump” + 0.003“first”
9	0.009“house” + 0.007“news” + 0.005“care” + 0.004“trump” + 0.004“last” + 0.004“york” + 0.004“congress” + 0.004 “health” + O.OO4“april” + O.OO4“president”
10	0.007“news” + 0.006“april” + 0.004“health” + 0.004“wuhan” + 0.004“first” + O.OO3“fox” + O.OO3“chinese” + O.OO3“president” + 0.003“march” + 0.002“mask”
11	0.011“health” + 0.007“york” + 0.006“house” + 0.005 “president” + 0.005“trump” + 0.005“city” + 0.004“government” + 0.003 “former” + 0.003“national” + 0.003“world”
12	0.012“april” + 0.006“member” + 0.006“york” + 0.006 “health” + 0.006“home” + O.OO6“national” + 0.005* “nursing” + O.OO4“president” + O.OO4“scholar” + O.OO4*“news”

Topic ID	Topics
1	0.017* “trump” + 0.011* “health” + 0.009* “president” + 0.008* “national” + 0.007* “public” + 0.006“guard” + 0.004“house” + 0.004“news” + 0.003“world” + 0.003*“former”
2	0.010“news” + 0.010“april” + 0.008“health” + 0.006 “vitamin” + 0.005“national” + 0.005“york” + 0.004“trump” + 0.004“last” + 0.004“fox” + 0.004“president”
3	0.010* “health” + 0.008“trump” + 0.006 “chínese” + 0.006“news” + 0.005 “president” + 0.005“last” + 0.004“government” + 0.004“public” + 0.004“china” + 0.004*“world”
4	0.013“april” + 0.008“march” + 0.007“news” + 0.005 “member” + 0.005“last” + 0.005“health” + 0.005“york” + 0.004“december” + 0.004* “January” + 0.004*“first”
5	0.019* “health” + 0.011“house” + 0.010“national” + 0.007“world” + 0.007 “committee” + 0.006“public” + 0.006“congress” + 0.006“president” + 0.006“law” + 0.006*“york”
6	0.018* “health” + 0.009“news” + 0.007“trump” + 0.006“president” + 0.005“house” + 0.005“april” + 0.005 “county” + 0.005“public” + 0.004“government” + 0.004*“rate”
7	0.007“york” + 0.006“health” + 0.005“april” + 0.005“death” + 0.004“rate” + 0.004“trump” + 0.004“president” + O.OO4“world” + O.OO4“news” + O.OO4“last”
8	0.005* “health” + 0.005“april” + 0.004“vitamin” + 0.004* “president” + 0.004“york” + 0.003“public” + 0.003“news” + 0.003“house” + 0.003“trump” + 0.003“first”
9	0.009“house” + 0.007“news” + 0.005“care” + 0.004“trump” + 0.004“last” + 0.004“york” + 0.004“congress” + 0.004 “health” + O.OO4“april” + O.OO4“president”
10	0.007“news” + 0.006“april” + 0.004“health” + 0.004“wuhan” + 0.004“first” + O.OO3“fox” + O.OO3“chinese” + O.OO3“president” + 0.003“march” + 0.002“mask”
11	0.011“health” + 0.007“york” + 0.006“house” + 0.005 “president” + 0.005“trump” + 0.005“city” + 0.004“government” + 0.003 “former” + 0.003“national” + 0.003“world”
12	0.012“april” + 0.006“member” + 0.006“york” + 0.006 “health” + 0.006“home” + O.OO6“national” + 0.005* “nursing” + O.OO4“president” + O.OO4“scholar” + O.OO4*“news”

Note: Coefficient values indicate the importance of each word in a topic.