1 00:00:10,143 --> 00:00:14,244 So some of the smallest most insignificant work 2 00:00:14,244 --> 00:00:17,995 is everyday cos reflect a lot about who we are. 3 00:00:17,995 --> 00:00:20,137 And I say this not as a linguist, 4 00:00:20,137 --> 00:00:23,506 or a computer scientist but as a social psychologist. 5 00:00:23,506 --> 00:00:25,743 And today I'd like to tell you a story 6 00:00:25,743 --> 00:00:28,345 that summarizes a lot of the research 7 00:00:28,345 --> 00:00:31,060 that my colleagues, my students and I have done, 8 00:00:31,060 --> 00:00:34,623 that have helped me to come to this realization. 9 00:00:34,623 --> 00:00:38,137 Now several years ago I was studying the nature of traumatic experience 10 00:00:38,137 --> 00:00:40,607 and how it is related to physical health 11 00:00:40,607 --> 00:00:44,927 and kept finding that just completely perplexed me. 12 00:00:44,927 --> 00:00:48,965 Basically when people have a major traumatic experience in their life, 13 00:00:48,965 --> 00:00:52,355 they are much more likely to get sick after that event, 14 00:00:52,355 --> 00:00:54,462 if they keep the events secret, 15 00:00:54,468 --> 00:01:02,145 than if they actually talk to other people. 16 00:01:02,145 --> 00:01:07,127 So, this really bugged me, so keeping a secret it seems 17 00:01:07,127 --> 00:01:09,319 is somehow toxic. 18 00:01:16,000 --> 00:01:18,000 ####this let me too 19 00:01:18,000 --> 00:01:21,000 brunson experiment we brought people in the laboratory 20 00:01:21,000 --> 00:01:23,000 and we asked them to write about 21 00:01:23,000 --> 00:01:26,000 the most dramatic experiences they've had 22 00:01:26,000 --> 00:01:28,000 especially if they kept a secret 23 00:01:28,000 --> 00:01:30,000 and these are big trauma cedras things like right 24 00:01:30,000 --> 00:01:31,000 they were like uh... 25 00:01:31,000 --> 00:01:34,000 major public humiliations or failure 26 00:01:34,000 --> 00:01:38,000 and the results that we got from this this study were stunning 27 00:01:38,000 --> 00:01:39,000 we discovered that 28 00:01:39,000 --> 00:01:40,000 harried 29 00:01:40,000 --> 00:01:43,000 people write as little as fifteen minutes a day for three or four 30 00:01:43,000 --> 00:01:45,000 consecutive days brought about 31 00:01:45,000 --> 00:01:48,000 meaningful change in people's physical health 32 00:01:48,000 --> 00:01:51,000 and even their immune function 33 00:01:51,000 --> 00:01:54,000 translating up saying experiences into words 34 00:01:54,000 --> 00:01:56,000 makes a difference 35 00:01:56,000 --> 00:01:58,000 book why 36 00:01:58,000 --> 00:02:01,000 since then there been hundreds of studies done by lab so all over the 37 00:02:01,000 --> 00:02:04,000 world trying to answer this and they haven't come up with the single life as 38 00:02:04,000 --> 00:02:06,000 a single explanation 39 00:02:06,000 --> 00:02:09,000 by own approach was to actually 40 00:02:09,000 --> 00:02:11,000 look at the essays that these people wrote 41 00:02:11,000 --> 00:02:13,000 and try to figure out 42 00:02:13,000 --> 00:02:16,000 was there something about the essays i can't predict who would benefit from 43 00:02:16,000 --> 00:02:18,000 writing verses he wouldn't 44 00:02:18,000 --> 00:02:21,000 i tried and i couldn't figure it out 45 00:02:21,000 --> 00:02:25,000 so i gotta number psychologists and other experts to read and write hundreds 46 00:02:25,000 --> 00:02:26,000 of these essays 47 00:02:26,000 --> 00:02:30,000 and they couldn't fixya pattern either 48 00:02:30,000 --> 00:02:32,000 units to try some other strategies cell 49 00:02:32,000 --> 00:02:36,000 with the help of one of my graduate students partha francis we're on a 50 00:02:36,000 --> 00:02:37,000 computer program 51 00:02:37,000 --> 00:02:40,000 and the idea of this computer program was to go into any given text 52 00:02:40,000 --> 00:02:44,000 and calculate the percentage of words in the attacks that were positive emotion 53 00:02:44,000 --> 00:02:45,000 words 54 00:02:45,000 --> 00:02:46,000 negative emotion words 55 00:02:46,000 --> 00:02:51,000 or words related to topics such as death or sex or violence or 56 00:02:51,000 --> 00:02:53,000 religion or family 57 00:02:53,000 --> 00:02:56,000 and as long as we are writing the computer program 58 00:02:56,000 --> 00:02:59,000 i thought well let's go ahead and throw in some parts of speech pronouns 59 00:02:59,000 --> 00:03:01,000 prepositions 60 00:03:01,000 --> 00:03:04,000 because it was easy who cares 61 00:03:04,000 --> 00:03:05,000 i go back 62 00:03:05,000 --> 00:03:08,000 start to analyze these dramatic essays 63 00:03:08,000 --> 00:03:10,000 squiggly discover that 64 00:03:10,000 --> 00:03:12,000 the content of what people were writing about 65 00:03:12,000 --> 00:03:16,000 hetnet didn't matter in terms of if they improved in their help they're not 66 00:03:16,000 --> 00:03:17,000 instead 67 00:03:17,000 --> 00:03:21,000 ulysses with these job boards pronouns and articles of prepositions and so 68 00:03:21,000 --> 00:03:22,000 forth 69 00:03:22,000 --> 00:03:24,000 that didn't matter 70 00:03:24,000 --> 00:03:26,000 not think about this 71 00:03:26,000 --> 00:03:27,000 here people are writing about 72 00:03:27,000 --> 00:03:30,000 deeply disturbing issues 73 00:03:30,000 --> 00:03:33,000 the actual topics that dealt with 74 00:03:33,000 --> 00:03:36,000 tragedies devastation horrible things 75 00:03:36,000 --> 00:03:39,000 the topics themselves in the words associate with those topics made no 76 00:03:39,000 --> 00:03:40,000 difference 77 00:03:40,000 --> 00:03:45,000 instead these little words like aryan vi and and didn't matter 78 00:03:45,000 --> 00:03:47,000 i get looking for the obvious 79 00:03:47,000 --> 00:03:48,000 but in fact 80 00:03:48,000 --> 00:03:51,000 and i don't pay attention to what people were saying 81 00:03:51,000 --> 00:03:54,000 but not how they were saying it 82 00:03:54,000 --> 00:03:56,000 so how do i go about 83 00:03:56,000 --> 00:03:58,000 analyzing watch versus how 84 00:03:58,000 --> 00:04:02,000 well turns out that they're difficult classes of words that makes these makes 85 00:04:02,000 --> 00:04:04,000 that look at this distinction whatever it is 86 00:04:04,000 --> 00:04:07,000 if you're looking at what people are writing about you look at when park all 87 00:04:07,000 --> 00:04:13,000 content word caesar now into the regular verbs it as yet since i'm a adverbs 88 00:04:13,000 --> 00:04:17,000 you know that's stuff of thought this is the stuff of communication we were 89 00:04:17,000 --> 00:04:20,000 trying to talk to somebody gogo 90 00:04:20,000 --> 00:04:23,000 and search terms are all based on these content words 91 00:04:23,000 --> 00:04:27,000 the other group of words are art class of words urgently cult 92 00:04:27,000 --> 00:04:28,000 function works 93 00:04:28,000 --> 00:04:29,000 at funship words 94 00:04:29,000 --> 00:04:31,000 are made up of the most boring 95 00:04:31,000 --> 00:04:34,000 words that you can imagine 96 00:04:34,000 --> 00:04:35,000 they're made up of 97 00:04:35,000 --> 00:04:38,000 pronouns army he she 98 00:04:38,000 --> 00:04:40,000 prepositions to of four 99 00:04:40,000 --> 00:04:44,000 auxiliary verbs and is have 100 00:04:44,000 --> 00:04:48,000 out wake you up by-catch they'll have to wake up i keep talking about these 101 00:04:48,000 --> 00:04:50,000 function worth dot 102 00:04:50,000 --> 00:04:52,000 it turns out these function words 103 00:04:52,000 --> 00:04:55,000 are really interested because first of all 104 00:04:55,000 --> 00:04:57,000 there's only about five hundred 105 00:04:57,000 --> 00:04:59,000 function words in english 106 00:04:59,000 --> 00:05:02,000 so they account for far less than one percent of all the words we know we hear 107 00:05:02,000 --> 00:05:04,000 weary 108 00:05:04,000 --> 00:05:07,000 nevertheless they reflect fifty-five dist 109 00:05:07,000 --> 00:05:09,000 to sixty percent of all the words that we 110 00:05:09,000 --> 00:05:11,000 that we are surrounded with their everywhere 111 00:05:11,000 --> 00:05:13,000 but we don't pay attention to them 112 00:05:13,000 --> 00:05:15,000 in english and in other languages 113 00:05:15,000 --> 00:05:17,000 there the shortest words there are a hand 114 00:05:17,000 --> 00:05:19,000 when they're spoken or with your reading 115 00:05:19,000 --> 00:05:23,000 pcf into your brain at the speed of less than two tenths of a second 116 00:05:23,000 --> 00:05:27,000 meaning that they're processed essentially not consciously 117 00:05:27,000 --> 00:05:29,000 but there's something even more interesting about that 118 00:05:29,000 --> 00:05:32,000 they are social they are 119 00:05:32,000 --> 00:05:33,000 profoundly social 120 00:05:33,000 --> 00:05:36,000 let me give me an example let's say you're walking along 121 00:05:36,000 --> 00:05:37,000 you see in note on the ground 122 00:05:37,000 --> 00:05:39,000 you pick it up and says 123 00:05:39,000 --> 00:05:42,000 i am placing it on the table 124 00:05:42,000 --> 00:05:44,000 well that kinda makes an skied it doesn't 125 00:05:44,000 --> 00:05:48,000 by places on the table this to content words placing in table 126 00:05:48,000 --> 00:05:50,000 all the rest of function worked 127 00:05:50,000 --> 00:05:52,000 i am yet 128 00:05:52,000 --> 00:05:54,000 on p 129 00:05:54,000 --> 00:05:58,000 now the reason this doesn't make sense to most of us 130 00:05:58,000 --> 00:05:59,000 is it was i 131 00:05:59,000 --> 00:06:01,000 no idea amma implies 132 00:06:01,000 --> 00:06:04,000 present tense when was it written 133 00:06:04,000 --> 00:06:06,000 no idea what it is 134 00:06:06,000 --> 00:06:08,000 on v table v table 135 00:06:08,000 --> 00:06:10,000 needs its a table that 136 00:06:10,000 --> 00:06:11,000 dot author knew about 137 00:06:11,000 --> 00:06:14,000 and they intended recipient of this note new about 138 00:06:14,000 --> 00:06:17,000 but nobody else did and in fact 139 00:06:17,000 --> 00:06:19,000 there's no only has meaning 140 00:06:19,000 --> 00:06:21,000 to the uh... authored 141 00:06:21,000 --> 00:06:22,000 and the recipient of the note 142 00:06:22,000 --> 00:06:28,000 at a particular time in a particular location in fact if i took that no to 143 00:06:28,000 --> 00:06:30,000 this all turn out six months later and say 144 00:06:30,000 --> 00:06:34,000 what's this all about there's a good chance that the the off was safe 145 00:06:34,000 --> 00:06:37,000 no idea 146 00:06:37,000 --> 00:06:39,000 function of words are social 147 00:06:39,000 --> 00:06:43,000 they tell us about the author they tell us about the relationship between the 148 00:06:43,000 --> 00:06:44,000 author of the recipient 149 00:06:44,000 --> 00:06:47,000 and relationship between the author 150 00:06:47,000 --> 00:06:49,000 and the topic itself 151 00:06:49,000 --> 00:06:52,000 is take heart of what i want to talk to you about today 152 00:06:52,000 --> 00:06:54,000 by analyzing function words 153 00:06:54,000 --> 00:06:56,000 we start to get a sense 154 00:06:56,000 --> 00:06:58,000 of who people are quick to relationships are 155 00:06:58,000 --> 00:07:00,000 how they think about theirselves 156 00:07:00,000 --> 00:07:01,000 and how they 157 00:07:01,000 --> 00:07:04,000 connect with others 158 00:07:04,000 --> 00:07:06,000 whether a lot of function words 159 00:07:06,000 --> 00:07:10,000 honestly i could talk for several hours about function words but i'm going to 160 00:07:10,000 --> 00:07:12,000 spare you that it just focus on it 161 00:07:12,000 --> 00:07:15,000 couple today to just give you a flavor of her 162 00:07:15,000 --> 00:07:17,000 why they're so interesting 163 00:07:17,000 --> 00:07:21,000 let's start off with pro downs of the storm up with third-person pronouns like 164 00:07:21,000 --> 00:07:24,000 t-shirt ye bang 165 00:07:24,000 --> 00:07:27,000 it turns out some people out there in the world used pronouns these 166 00:07:27,000 --> 00:07:29,000 third-person pronouns at high rates 167 00:07:29,000 --> 00:07:31,000 and other people at lower rates 168 00:07:31,000 --> 00:07:34,000 what kind of person would use 169 00:07:34,000 --> 00:07:38,000 well you have to think about pronouns as and all function words 170 00:07:38,000 --> 00:07:39,000 in terms of 171 00:07:39,000 --> 00:07:42,000 where our people paying attention 172 00:07:42,000 --> 00:07:45,000 if you are using these third-person pronounced by different definition 173 00:07:45,000 --> 00:07:47,000 you're paying attention to other people 174 00:07:47,000 --> 00:07:50,000 you care about other people you're thinking about other people 175 00:07:50,000 --> 00:07:52,000 at people who use these at high rates 176 00:07:52,000 --> 00:07:54,000 are much more socially engaged 177 00:07:54,000 --> 00:07:58,000 we can analyze emails tweets and so forth and get a sense someone's social 178 00:07:58,000 --> 00:08:01,000 engagement just by looking at this 179 00:08:01,000 --> 00:08:06,000 how about first-person singular part as a highly me in mind 180 00:08:06,000 --> 00:08:07,000 okay 181 00:08:07,000 --> 00:08:11,000 you see tential argument somewhat is attending to their thoughts feelings 182 00:08:11,000 --> 00:08:12,000 behaviors 183 00:08:12,000 --> 00:08:15,000 to themselves and subway would use these words more 184 00:08:15,000 --> 00:08:19,000 what kind of person you think uses aren't words the most 185 00:08:19,000 --> 00:08:21,000 you're sitting there you're speaking for them 186 00:08:21,000 --> 00:08:22,000 well somebody who's 187 00:08:22,000 --> 00:08:25,000 self-centered self-important narcissistic 188 00:08:25,000 --> 00:08:26,000 uh... 189 00:08:26,000 --> 00:08:31,000 hungry for power and highest status 190 00:08:31,000 --> 00:08:34,000 you would be completely wrong 191 00:08:34,000 --> 00:08:36,000 in fact the person who is 192 00:08:36,000 --> 00:08:40,000 highest instead issues is on words the least 193 00:08:40,000 --> 00:08:42,000 the new rephrase that 194 00:08:42,000 --> 00:08:46,000 the hire anybody isn't status the less they use a high were ds 195 00:08:46,000 --> 00:08:48,000 the lower so what is in status 196 00:08:48,000 --> 00:08:51,000 the higher they use a spy works 197 00:08:51,000 --> 00:08:54,000 i discovered this by analyzing emails 198 00:08:54,000 --> 00:08:59,000 isdn messages natural conversations business groups and so forth 199 00:08:59,000 --> 00:09:02,000 in the affects were huge 200 00:09:02,000 --> 00:09:05,000 i look at these results and i thought 201 00:09:05,000 --> 00:09:09,000 this must be true for other people but he can't possibly be true for me 202 00:09:09,000 --> 00:09:13,000 you know i'd love everybody equally 203 00:09:13,000 --> 00:09:16,000 isolated analyze my own emails 204 00:09:16,000 --> 00:09:17,000 on the same as everybody else 205 00:09:17,000 --> 00:09:22,000 alexey melt that i get from the undergraduate student 206 00:09:22,000 --> 00:09:25,000 dear doctor pennebaker i would like to know if i could possibly meet with you 207 00:09:25,000 --> 00:09:28,000 because i think i need to change my grades are right back 208 00:09:28,000 --> 00:09:32,000 dear student thank you so much for your email 209 00:09:32,000 --> 00:09:36,000 unfortunately uh... later which prices don't work well 210 00:09:36,000 --> 00:09:39,000 i look at my email to the dean 211 00:09:39,000 --> 00:09:42,000 dare denied jamie pennebaker and i would like to ask if i could do this and i 212 00:09:42,000 --> 00:09:45,000 could get that like to do this in the team rice packed 213 00:09:45,000 --> 00:09:50,000 dear jamie thank you so much for your email so forth 214 00:09:50,000 --> 00:09:54,000 not everybody is being completely polite 215 00:09:54,000 --> 00:09:56,000 nobody's putting anybody down 216 00:09:56,000 --> 00:09:59,000 this is the language of power in status 217 00:09:59,000 --> 00:10:02,000 it tells us where people are paying attention high status person 218 00:10:02,000 --> 00:10:07,000 is looking out at the world the los esperamos to be looking more inwardly 219 00:10:07,000 --> 00:10:09,000 what about others states 220 00:10:09,000 --> 00:10:10,000 lets move beyond status 221 00:10:10,000 --> 00:10:14,000 let's look at emotional states 222 00:10:14,000 --> 00:10:17,000 you would think that someone would be paying more attention to themselves 223 00:10:17,000 --> 00:10:19,000 if they're in pain 224 00:10:19,000 --> 00:10:22,000 it could be physical pain or emotional pain 225 00:10:22,000 --> 00:10:26,000 in fact you alive we look at people who are depressed we've done any studies on 226 00:10:26,000 --> 00:10:28,000 this we know the people who are depressed 227 00:10:28,000 --> 00:10:32,000 pay attention to themselves more and they used the word i'm more 228 00:10:32,000 --> 00:10:36,000 that one of our very first time he's looked at the poetry of suicidal and non 229 00:10:36,000 --> 00:10:40,000 suicidal poets that we get this research where we 230 00:10:40,000 --> 00:10:43,000 with through analyzer poetry and initially i thought 231 00:10:43,000 --> 00:10:46,000 whether big big differences in the degree that they use negative emotion 232 00:10:46,000 --> 00:10:47,000 words 233 00:10:47,000 --> 00:10:48,000 not true 234 00:10:48,000 --> 00:10:54,000 suicidal and non suicidal poets all use negative motion words at high rates 235 00:10:54,000 --> 00:10:59,000 i think it's part of it is part of the job description 236 00:10:59,000 --> 00:11:01,000 the big difference was their use of the word on 237 00:11:01,000 --> 00:11:04,000 suicidal poets used to work hard work 238 00:11:04,000 --> 00:11:10,000 consider this poll on this is by sylvia plath you later committed suicide 239 00:11:10,000 --> 00:11:13,000 despotic listen to the way that she uses the word i 240 00:11:13,000 --> 00:11:15,000 and first-person singular 241 00:11:15,000 --> 00:11:16,000 and this is the optus 242 00:11:16,000 --> 00:11:21,000 and taking some lines from her poland not bad girls love song 243 00:11:21,000 --> 00:11:24,000 eyes shut my eyes and all the world drops dead 244 00:11:24,000 --> 00:11:27,000 i've missed my live and always born again 245 00:11:27,000 --> 00:11:30,000 i think a major up inside my head 246 00:11:30,000 --> 00:11:35,000 by fitting in return the way you said but i grow old and i forget renee 247 00:11:35,000 --> 00:11:39,000 i think i made you up inside my head 248 00:11:39,000 --> 00:11:42,000 you can almost see plan 249 00:11:42,000 --> 00:11:46,000 embracing her sorrow her misery and so forth 250 00:11:46,000 --> 00:11:50,000 and you can compare her writing with uh... other poets who write about in but 251 00:11:50,000 --> 00:11:53,000 not suicidal poets who right about lost love 252 00:11:53,000 --> 00:11:56,000 when they gave him almost see them holding at all 253 00:11:56,000 --> 00:11:59,000 from a distance of their looking at it from aboard distance 254 00:11:59,000 --> 00:12:02,000 third-person perspective 255 00:12:02,000 --> 00:12:04,000 now there's a really interesting things head out uh... 256 00:12:04,000 --> 00:12:07,000 important theory within psychology about depression 257 00:12:07,000 --> 00:12:09,000 and people who are depressed arf 258 00:12:09,000 --> 00:12:14,000 thought to be people who are very high in self-awareness urself focus 259 00:12:14,000 --> 00:12:16,000 and part of this is a also tend to be 260 00:12:16,000 --> 00:12:20,000 extremely uh... honest 261 00:12:20,000 --> 00:12:22,000 there often 262 00:12:22,000 --> 00:12:23,000 today are it 263 00:12:23,000 --> 00:12:25,000 they're they're many study showing that they 264 00:12:25,000 --> 00:12:27,000 have this deficit in they're not able to have 265 00:12:27,000 --> 00:12:30,000 a positive illusions about ourselves 266 00:12:30,000 --> 00:12:31,000 those of us who are depressed 267 00:12:31,000 --> 00:12:35,000 get by every day but holding these insane illusions about the life 268 00:12:35,000 --> 00:12:36,000 but these people 269 00:12:36,000 --> 00:12:39,000 are brutally honest 270 00:12:39,000 --> 00:12:41,000 now this made me wonder 271 00:12:41,000 --> 00:12:44,000 throwaway depression for just a second could return this entire thing upside 272 00:12:44,000 --> 00:12:47,000 down to find out if depressed people 273 00:12:47,000 --> 00:12:50,000 or if we could use the computer program 274 00:12:50,000 --> 00:12:53,000 linguistic lie-detector let me for anybody so 275 00:12:53,000 --> 00:12:57,000 in fact we did some studies for we bra people no lab we do some to lie or tell 276 00:12:57,000 --> 00:12:58,000 the truth 277 00:12:58,000 --> 00:13:01,000 we analyze court transcripts of people who are all found guilty half of whom 278 00:13:01,000 --> 00:13:03,000 were exhausted later exonerated 279 00:13:03,000 --> 00:13:06,000 and the affects rectly quite impressive 280 00:13:06,000 --> 00:13:10,000 we did a pretty good job at telling to someone who is telling the truth verses 281 00:13:10,000 --> 00:13:12,000 lying in one of the best words 282 00:13:12,000 --> 00:13:15,000 was he uses the word i'm people who tell the truth 283 00:13:15,000 --> 00:13:19,000 used the word i border pony what they're saying liars 284 00:13:19,000 --> 00:13:26,000 pertaining to hold off distancing themselves 285 00:13:26,000 --> 00:13:28,000 lie detection depression 286 00:13:28,000 --> 00:13:32,000 status are all something so we can look at but one of the things that i'm most 287 00:13:32,000 --> 00:13:36,000 interested now is looking at groups looking at the relationship between two 288 00:13:36,000 --> 00:13:38,000 people can you tell how to people 289 00:13:38,000 --> 00:13:39,000 forget who won't bite 290 00:13:39,000 --> 00:13:43,000 by analyzing the weight they're using function worked with each other 291 00:13:43,000 --> 00:13:47,000 and the answer is yes we look at the percentage of each class of words and we 292 00:13:47,000 --> 00:13:51,000 come up with the metrics mccall language style matchy 293 00:13:51,000 --> 00:13:55,000 and the more that two people are matching their function word use 294 00:13:55,000 --> 00:13:57,000 the more there on the same page 295 00:13:57,000 --> 00:14:00,000 the more they're talking about something in the same way 296 00:14:00,000 --> 00:14:04,000 now what i said we started to look at this was with speed dating 297 00:14:04,000 --> 00:14:06,000 not going to tell you 298 00:14:06,000 --> 00:14:09,000 love speed dating i've really it just 299 00:14:09,000 --> 00:14:12,000 i would never do it in a million years 300 00:14:12,000 --> 00:14:16,000 but anchorage all of you to go do speed dating it when you do 301 00:14:16,000 --> 00:14:19,000 invite a researcher along because there is no carradine 302 00:14:19,000 --> 00:14:21,000 it is better 303 00:14:21,000 --> 00:14:25,000 we've been involved in st speed dating projects where 304 00:14:25,000 --> 00:14:26,000 people coming in 305 00:14:26,000 --> 00:14:30,000 and in there for a minute date we tape-recorded they know we are heavily 306 00:14:30,000 --> 00:14:33,000 transcribe the not the way they talk 307 00:14:33,000 --> 00:14:36,000 the more they match in their language 308 00:14:36,000 --> 00:14:39,000 the more likely they are to go out on a date we can predict who will go on a 309 00:14:39,000 --> 00:14:44,000 date at rates slightly better than the people themselves here 310 00:14:44,000 --> 00:14:48,000 we've done studies with young dating couples where we uh... 311 00:14:48,000 --> 00:14:51,000 they had to be in our study they have to give this ten days of the instant 312 00:14:51,000 --> 00:14:53,000 messages our audience 313 00:14:53,000 --> 00:14:58,000 and what we do is we analyze their audience with its this style matching 314 00:14:58,000 --> 00:15:02,000 and we do much much better than they do have prediction if they'll be together 315 00:15:02,000 --> 00:15:05,000 three months later 316 00:15:05,000 --> 00:15:08,000 the fact is his these words are telling us how individuals and 317 00:15:08,000 --> 00:15:10,000 pairs of people are connecting 318 00:15:10,000 --> 00:15:13,000 what about groups now this is an area that were network you know we're looking 319 00:15:13,000 --> 00:15:17,000 at working groups summary groups that we've uh... work with people in the 320 00:15:17,000 --> 00:15:21,000 business school would look at uh... people you get to know you groups 321 00:15:21,000 --> 00:15:25,000 we do at occasional groups and what we're finding his bike looking at group 322 00:15:25,000 --> 00:15:29,000 of say five a six people we cannot get a sense of how productive the group will 323 00:15:29,000 --> 00:15:32,000 be and also how cohesive the group 324 00:15:32,000 --> 00:15:35,000 simply by looking at the style matching 325 00:15:35,000 --> 00:15:37,000 but here's where things are starting to get you christine 326 00:15:37,000 --> 00:15:43,000 bite tracking a groups this interacting and say they're all interacting online 327 00:15:43,000 --> 00:15:47,000 we can't have a computer of monitoring how the group is behaving imagine for 328 00:15:47,000 --> 00:15:48,000 example 329 00:15:48,000 --> 00:15:49,000 you are up 330 00:15:49,000 --> 00:15:50,000 in this group 331 00:15:50,000 --> 00:15:52,000 and a computer approach 332 00:15:52,000 --> 00:15:54,000 comes to your group every now and then 333 00:15:54,000 --> 00:15:57,000 anna message comes and says 334 00:15:57,000 --> 00:16:00,000 you guys are not paying attention to one another 335 00:16:00,000 --> 00:16:04,000 you need to be you'd be more attentive to what the other people are saying or 336 00:16:04,000 --> 00:16:07,000 you guys for the last few minutes have strayed off topic 337 00:16:07,000 --> 00:16:11,000 try to get back on topic or that loud mouth in the group the computer comes in 338 00:16:11,000 --> 00:16:12,000 missus 339 00:16:12,000 --> 00:16:17,000 joan for the last five minutes you said fifty percent of the words when she 340 00:16:17,000 --> 00:16:18,000 stand back 341 00:16:18,000 --> 00:16:21,000 any courage others to talk 342 00:16:21,000 --> 00:16:24,000 we have now created a program that does the s 343 00:16:24,000 --> 00:16:28,000 and we've now tested out with hundreds of groups and that we are getting very 344 00:16:28,000 --> 00:16:31,000 very promising results 345 00:16:31,000 --> 00:16:33,000 now you can start to see 346 00:16:33,000 --> 00:16:37,000 why a m so excited about this world the function works 347 00:16:37,000 --> 00:16:40,000 that we're not taking this in all these in 348 00:16:40,000 --> 00:16:43,000 directions that uh... i'd never would've thought about 349 00:16:43,000 --> 00:16:46,000 we've been looking at it in terms of looking at historical records can you 350 00:16:46,000 --> 00:16:51,000 tell if a particular uh... explorer committed suicide tourist murdered we've 351 00:16:51,000 --> 00:16:52,000 got a project on that 352 00:16:52,000 --> 00:16:56,000 can you look at a company and get a sense of how their internal 353 00:16:56,000 --> 00:17:00,000 communications are working how well they are connected with the people in their 354 00:17:00,000 --> 00:17:04,000 company or with their clients we look at that to corporate uh... earnings reports 355 00:17:04,000 --> 00:17:09,000 or the quarterly phone calls to get a sense of the internal groups dynamics of 356 00:17:09,000 --> 00:17:12,000 the company we've worked with the government to try to get a sense of 357 00:17:12,000 --> 00:17:17,000 terrorist groups and how if they are likely to behaved badly 358 00:17:17,000 --> 00:17:21,000 we help people sort out their love lives it 359 00:17:21,000 --> 00:17:23,000 you can start to say that 360 00:17:23,000 --> 00:17:24,000 bike harnessing these 361 00:17:24,000 --> 00:17:29,000 east the power of these function words we can get a sense of individuals and 362 00:17:29,000 --> 00:17:33,000 groups and help people are connected 363 00:17:33,000 --> 00:17:36,000 now but i wouldn't hurt you to do 364 00:17:36,000 --> 00:17:38,000 i'd like you to go home 365 00:17:38,000 --> 00:17:39,000 tonight 366 00:17:39,000 --> 00:17:43,000 and i want you to start looking at your emails here tweets year high amps or 367 00:17:43,000 --> 00:17:44,000 whatever 368 00:17:44,000 --> 00:17:46,000 added doing that 369 00:17:46,000 --> 00:17:48,000 what i hope you start to see is 370 00:17:48,000 --> 00:17:52,000 first of all you learn a little bit more about your relationship with others but 371 00:17:52,000 --> 00:17:53,000 more than anything 372 00:17:53,000 --> 00:17:56,000 i hope you learned a little bit of about yourself