--- title: AI can make pictures of real people doing things they never did; str… — Bots, troll farms and deepfakes in elections · tree and pragmatics description: AI can make pictures of real people doing things they never did; strange hands, blurry writing and odd backgrounds are clues, but clues will not always work. Who acts: AI, real people, people, strange hands. A sentence of the lesson «Bots, troll farms and deepfakes in elections» of the politics cour --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/9/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Politics](https://md.mova.elamur.ai/free/en/corpora/school/politics/) / [Bots, troll farms and deepfakes in ele…](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/) / 9 # Bots, troll farms and deepfakes in elections, sentence 9 AI can make pictures of real people doing things they never did; strange hands, blurry writing and odd backgrounds are clues, but clues will not always work. **Who acts:** AI, real people, people, strange hands, clues · **What happens:** make, do, not do, be, not work · **To what, where:** pictures, things, clues This is a sentence of the lesson «Bots, troll farms and deepfakes in elections» of the politics course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (AI, real people, people, strange hands), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:politics:032-bots-troll-farms-and-deepfakes.lesson:9 # text = AI can make pictures of real people doing things they never did; strange hands, blurry writing and odd backgrounds are clues, but clues will not always work. # source = school lesson (ours) # course = politics # lesson = 032-bots-troll-farms-and-deepfakes.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): no change 1 AI ai NOUN NN _ 3 nsubj _ _ 2 can can AUX MD VerbForm=Fin 3 aux _ _ 3 make make VERB VB VerbForm=Inf 0 root _ _ 4 pictures picture NOUN NNS Number=Plur 3 obj _ _ 5 of of ADP IN _ 7 case _ _ 6 real real ADJ JJ Degree=Pos 7 amod _ _ 7 people people NOUN NNS Number=Plur 4 nmod _ _ 8 doing do VERB VBG VerbForm=Ger 7 acl _ _ 9 things thing NOUN NNS Number=Plur 8 obj _ _ 10 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 12 nsubj _ _ 11 never never ADV RB PronType=Neg 12 advmod _ _ 12 did do VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 9 acl:relcl _ _ 13 ; ; PUNCT , _ 3 punct _ _ 14 strange strange ADJ JJ Degree=Pos 15 amod _ _ 15 hands hand NOUN NNS Number=Plur 23 nsubj _ _ 16 , , PUNCT , _ 18 punct _ _ 17 blurry blurry ADJ JJ Degree=Pos 18 amod _ _ 18 writing writing NOUN NN Number=Sing 15 conj _ _ 19 and and CCONJ CC _ 21 cc _ _ 20 odd odd ADJ JJ Degree=Pos 21 amod _ _ 21 backgrounds background NOUN NNS Number=Plur 15 conj _ _ 22 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 23 cop _ _ 23 clues clue NOUN NNS Number=Plur 3 parataxis _ _ 24 , , PUNCT , _ 30 punct _ _ 25 but but CCONJ CC _ 30 cc _ _ 26 clues clue NOUN NNS Number=Plur 30 nsubj _ _ 27 will will AUX MD VerbForm=Fin 30 aux _ _ 28 not not PART RB Polarity=Neg 30 advmod _ _ 29 always always ADV RB PronType=Tot 30 advmod _ _ 30 work work VERB VB VerbForm=Inf 23 conj _ _ 31 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make** | can | AI | pictures of real people | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset picture=Product | | 2 | **do** | gerund | real people *not said here* | things | | | | | vn act-114-1 «NP V NP»: agent=Agent thing=Eventuality | | 3 | **not** **do** | past | people | things *not said here* | | | | | vn act-114-1 «NP V NP»: agent=Agent thing=Eventuality | | 4 | **is a** | present | strange hands and blurry writing and odd backgrounds | clues | | | | | tree rules | | 5 | **not** **work** | future | clues | | | | | always *property* | vn employment-95.3 «NP V»: agent=Agent | One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:politics:032-bots-troll-farms-and-deepfakes.lesson:9`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): no change. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Bots, troll farms and deepfakes in ele…, 8](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/8/) - next →: [Bots, troll farms and deepfakes in ele…, 10](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/10/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/)