---
title: Which is true about clues like extra fingers or blurry writing? — Bots, troll farms and deepfakes in ele… · tree and pragmatics
description: Which is true about clues like extra fingers or blurry writing? Test 10 · ★ of lesson 32 «Bots, troll farms and deepfakes in elections» of the politics course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

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# Test 10 · ★ · Bots, troll farms and deepfakes in elections

<!-- .ven lang=en -->
Which is true about clues like extra fingers or blurry writing?

<!-- .vintro -->
**Mova's choice:** option 4 · **The right answer:** option 4 · right ✓ · **What happens:** be

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This is test 10 · ★ of lesson 32 «Bots, troll farms and deepfakes in elections» of the politics course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/politics/32-bots-troll-farms-and-deepfakes/#t10).

## The question {#question}

```conllu
# sent_id = question:politics:32-bots-troll-farms-and-deepfakes:t10:1
# text = Which is true about clues like extra fingers or blurry writing?
1	Which	which	PRON	WDT	PronType=Rel	3	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	true	true	ADJ	JJ	Degree=Pos	0	root	_	_
4	about	about	ADP	IN	_	5	case	_	_
5	clues	clue	NOUN	NNS	Number=Plur	3	obl	_	_
6	like	like	ADP	IN	_	8	case	_	_
7	extra	extra	ADJ	JJ	Degree=Pos	8	amod	_	_
8	fingers	finger	NOUN	NNS	Number=Plur	5	nmod	_	_
9	or	or	CCONJ	CC	_	11	cc	_	_
10	blurry	blurry	ADJ	JJ	Degree=Pos	11	amod	_	_
11	writing	writing	NOUN	NN	Number=Sing	8	conj	_	SpaceAfter=No
12	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present |  |  |  |  |  | about clues like extra fingers or blurry writing; true *property* | tree rules |

<!-- .note -->
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.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
They always catch every single fake, forever, however good the AI gets

```conllu
# sent_id = question:politics:32-bots-troll-farms-and-deepfakes:t10:o1:1
# text = They always catch every single fake, forever, however good the AI gets
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
2	always	always	ADV	RB	PronType=Tot	3	advmod	_	_
3	catch	catch	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	14	advcl	_	_
4	every	every	DET	DT	PronType=Tot	6	det	_	_
5	single	single	ADJ	JJ	Degree=Pos	6	amod	_	_
6	fake	fake	NOUN	NN	Number=Sing	3	obj	_	SpaceAfter=No
7	,	,	PUNCT	,	_	8	punct	_	_
8	forever	forever	ADV	RB	_	3	advmod	_	SpaceAfter=No
9	,	,	PUNCT	,	_	11	punct	_	_
10	however	however	ADV	RB	_	11	advmod	_	_
11	good	good	ADJ	JJ	Degree=Pos	3	conj	_	_
12	the	the	DET	DT	Definite=Def|PronType=Art	13	det	_	_
13	AI	ai	NOUN	NN	Number=Sing	11	nsubj	_	_
14	gets	get	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **catch** | present | They | every single fake |  |  |  | always, forever *property* | vn get-13.5.1 «NP V NP»: agent=Agent fake=Theme |
| 2 | **get** | present |  |  |  |  |  |  | vn comprehend-87.2-1 «NP V S\_ING»: agent=Experiencer |

### Option 2 {#o2}

<!-- .ven lang=en -->
They only ever appear in real camera photos, never in AI pictures

```conllu
# sent_id = question:politics:32-bots-troll-farms-and-deepfakes:t10:o2:1
# text = They only ever appear in real camera photos, never in AI pictures
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	4	nsubj	_	_
2	only	only	ADV	RB	_	4	advmod	_	_
3	ever	ever	ADV	RB	PronType=Ind	4	advmod	_	_
4	appear	appear	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	in	in	ADP	IN	_	8	case	_	_
6	real	real	ADJ	JJ	Degree=Pos	8	amod	_	_
7	camera	camera	NOUN	NN	Number=Sing	8	compound	_	_
8	photos	photo	NOUN	NNS	Number=Plur	4	obl	_	SpaceAfter=No
9	,	,	PUNCT	,	_	13	punct	_	_
10	never	never	ADV	RB	PronType=Neg	13	advmod	_	_
11	in	in	ADP	IN	_	13	case	_	_
12	AI	ai	NOUN	NN	Number=Sing	13	compound	_	_
13	pictures	picture	NOUN	NNS	Number=Plur	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **appear** | present | They |  |  | real camera photos | ever | in AI pictures | vn appear-48.1.1 «NP V PP.location»: agent=Theme in photo=Location |

### Option 3 {#o3}

<!-- .ven lang=en -->
They prove a picture is real, because AI always draws hands right

```conllu
# sent_id = question:politics:32-bots-troll-farms-and-deepfakes:t10:o3:1
# text = They prove a picture is real, because AI always draws hands right
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	prove	prove	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	picture	picture	NOUN	NN	Number=Sing	6	nsubj	_	_
5	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	real	real	ADJ	JJ	Degree=Pos	2	ccomp	_	SpaceAfter=No
7	,	,	PUNCT	,	_	11	punct	_	_
8	because	because	SCONJ	IN	_	11	mark	_	_
9	AI	ai	NOUN	NN	Number=Sing	11	nsubj	_	_
10	always	always	ADV	RB	PronType=Tot	11	advmod	_	_
11	draws	draw	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	parataxis	_	_
12	hands	hand	NOUN	NNS	Number=Plur	11	obj	_	_
13	right	right	ADV	RB	_	11	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **prove** | present | They |  |  |  |  |  | vn declare-29.4-1-1 «NP V what S\_INF»: agent=Agent |
| 2 | **is** | present | a picture |  |  |  |  | real *property* | tree rules |
| 3 | **draw** | present | AI | hands |  |  |  | always, right *property* | vn scribble-25.2-1 «NP V NP»: agent=Agent hand=Theme |

### Option 4 · ← Mova's choice · ✓ the right answer {#o4}

<!-- .ven lang=en -->
They help, but AI keeps improving so they will not always work

```conllu
# sent_id = question:politics:32-bots-troll-farms-and-deepfakes:t10:o4:1
# text = They help, but AI keeps improving so they will not always work
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	help	help	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	6	punct	_	_
4	but	but	CCONJ	CC	_	6	cc	_	_
5	AI	ai	NOUN	NN	Number=Sing	6	nsubj	_	_
6	keeps	keep	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
7	improving	improve	VERB	VBG	VerbForm=Ger	6	xcomp	_	_
8	so	so	ADV	RB	_	13	advmod	_	_
9	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	13	nsubj	_	_
10	will	will	AUX	MD	VerbForm=Fin	13	aux	_	_
11	not	not	PART	RB	Polarity=Neg	13	advmod	_	_
12	always	always	ADV	RB	PronType=Tot	13	advmod	_	_
13	work	work	VERB	VB	VerbForm=Inf	7	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **help** | present | They |  |  |  |  |  | vn help-72.1-1-1 «NP V PP.theme»: agent=Agent |
| 2 | **keep** | present | AI |  |  |  |  |  | tree rules |
| 3 | **improve** | gerund | AI *not said here* |  |  |  |  |  | tree rules |
| 4 | **not** **work** | future | they |  |  |  |  | always *property* | vn employment-95.3 «NP V»: agent=Agent |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

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- ← previous: [Bots, troll farms and deepfakes in ele…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/politics/32-bots-troll-farms-and-deepfakes/t9/)
- next →: [Bots, troll farms and deepfakes in ele…, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/politics/32-bots-troll-farms-and-deepfakes/t11/)
- ↑ back to [Bots, troll farms and deepfakes in elections](https://md.mova.elamur.ai/free/en/corpora/questions/politics/32-bots-troll-farms-and-deepfakes/)