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Part of
Corpus Approaches to Social Media
Edited by Sofia Rüdiger and Daria Dayter
[Studies in Corpus Linguistics 98] 2020
► pp. 209–210

Index

A

  • accommodation Felder passim203
  • attention economy 2–3
  • automatic image annotation 150–151
  • automatic semantic tagging 68–69, 72–73, 78–79

B

  • Big Data 1, 4, 7, 9, 28, 63, 116, 155, 177
  • blogs 2, 69–70, 133, 203

C

  • CAMDA 150, 176
  • CBDA 64–65, 67–69
  • censorship Donlan passim 202–203
  • character limit Eberl passim
  • Clinton, Hillary 161–163
  • collocation 68–69, 78–80, 166–169, 187–193
    • collocational network79
  • community of practice Leuckert & Leuckert passim, Donlan passim 66, 202
  • concordances 67–68, 111, 152, 157, 168
  • contractions 135–136, 143
  • convergence 91–92, 96–103
  • COVID-191

D

  • data access8
  • dialect 92–94, 107, 180–181
  • divergence 91–92, 102, 104–105

E

  • emoji 100–101, 105, 117, 132–133, 138–139, 141–142, 178–180, 184–186, 188, 190–192, 204
  • emoticon 54, 100–101, 117
  • ethics9

F

  • Facebook 21, 179–181, 190–191
  • first-person pronoun 112, 118–127
  • forum 16, 19, 28, 66, 69–71

G

  • Google Cloud Vision 155–157

H

  • hashtag 132–133, 135, 138–139, 141–142, 152, 170–171
  • hedging53
  • hidden discourse 163, 171
  • Hostile State Information Operations 158–159, 171

I

  • identity 2, 21–22, 50, 65, 91
    • brand identity180
  • image annotation 151, 171, 182–185, 191–192
  • informational style 118–119
  • Instagram191
  • instant messaging144
  • introspection 71, 74–75, 78

J

  • joint enterprise 23, 36, 42, 44, 66

K

  • keyness 164, 178

L

  • language change91
  • LancsBox 73, 78, 187, 192
  • laughter particle 99–100
  • lengthwise quantile scaling 125–127
  • likes 3, 160–161, 171
  • linguistic creativity 34, 133
  • linguistic innovation 36, 44, 49

M

  • maintenance 91–92, 102–103
  • manual tagging 73, 77–78, 80, 82–83, 154, 177
  • marketing 178–179
  • meme 158, 163
  • moderator 41–42, 45, 51–55, 58–59
  • multi-dimensional analysis118
  • multimodality 37, 149–150, 153–154, 158, 176, 191
  • multiple correspondence analysis114
  • mutual engagement 22, 35, 42–43, 64, 66

P

  • parallelism 102, 105–107
  • part of speech 183, 189–190
  • photo image 184, 188
  • politeness 52, 53
  • power 43–44, 45, 51–53, 55–59, 202–203
  • pragmatic function142
  • pragmatics of participation2
  • punctuation 98, 133, 135, 137–138, 141–143
  • Python 23, 25, 29, 134

R

  • R 25, 134
  • Reddit Leuckert & Leuckert passim, Donlan passim, Liimatta passim 201–202
  • register 116, 118
  • relationship 132, 179–180, 186, 191
    • relationship building 2, 179, 191
  • relative rarity scaling124
  • reservoir sampling120
  • retweets 160–161, 171
  • rules 20–21, 22, 45, 119

S

  • sampling 120, 134
  • screenshot 182–183, 185
  • second-order collocate 69, 73, 79–80
  • semantic domains 72, 164, 166–169
  • semantic tagging 69, 72, 78–80, 82–83, 169
  • shared repertoire 23, 29, 31–34, 36–37, 42, 44, 50, 64, 66
  • slang 44, 47, 50, 66, 74, 77, 80–81
  • smartphone 92, 200
  • SMS 92–93, 133
  • sociolinguistics 21–23, 90–91
    • internet sociolinguistics2
  • spelling97
  • subredditsee Reddit
  • swear word77
  • Swiss German 93–94

T

  • thumbnail 182–183, 185, 190
  • tokenization 117–118, 192
  • Trump, Donald 161–165, 169–171
  • twint 132, 134
  • Twitter 69, 114, 205 Eberl passim, Christiansen et al. passim
  • Twitter Internet Research Agency158
  • type-token ratio 114–115, 135, 143

U

  • Unicode 178, 184
  • USAS Tagset 72–73, 164

V

  • Visual Constituent Analysis Christiansen et al. passim
  • visual grammar150
  • vocabulary 36, 44, 66, 70, 77–78, 81–82, 135

W

  • WhatsApp Felder passim
  • WMatrix 65, 72, 78, 164, 170

Y

  • YouTube 64, 66, 69–70