---
title: "age checks sorted it, nothing to worry about now" What is closer to… — In the news: deepfakes, fake robocalls… · tree and pragmatics
description: "age checks sorted it, nothing to worry about now" What is closer to the truth? Test 8 · ★ of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice
---

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# Test 8 · ★ · In the news: deepfakes, fake robocalls and history gone wr…

<!-- .ven lang=en -->
"age checks sorted it, nothing to worry about now" What is closer to the truth?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** age checks · **What happens:** sort, worry, be · **To what, where:** it

<!-- .vabout -->
This is test 8 · ★ of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI 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/ai/21-news-deepfakes-history/#t8).

## The question {#question}

```conllu
# sent_id = question:ai:21-news-deepfakes-history:t8:1
# text = "age checks sorted it, nothing to worry about now" What is closer to the truth?
1	"	"	PUNCT	``	_	4	punct	_	SpaceAfter=No
2	age	age	NOUN	NN	Number=Sing	3	compound	_	_
3	checks	check	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	sorted	sort	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	4	obj	_	SpaceAfter=No
6	,	,	PUNCT	,	_	7	punct	_	_
7	nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	4	obl	_	_
8	to	to	PART	TO	_	9	mark	_	_
9	worry	worry	VERB	VB	VerbForm=Inf	7	acl	_	_
10	about	about	SCONJ	IN	_	15	mark	_	_
11	now	now	ADV	RB	PronType=Dem	15	advmod	_	SpaceAfter=No
12	"	"	PUNCT	``	_	15	punct	_	_
13	What	what	PRON	WP	PronType=Int	15	nsubj	_	_
14	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	15	cop	_	_
15	closer	close	ADJ	JJR	Degree=Cmp	9	advcl	_	_
16	to	to	ADP	IN	_	18	case	_	_
17	the	the	DET	DT	Definite=Def|PronType=Art	18	det	_	_
18	truth	truth	NOUN	NN	Number=Sing	15	obl	_	SpaceAfter=No
19	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **sort** *in a quote* | past | age checks | it |  |  |  | nothing *obl* | vn classify-29.10 «NP V NP»: agent=Agent it=Theme |
| 2 | **worry** *in a quote* | to-infinitive | age checks *not said here* |  |  |  |  |  | vn amuse-31.1 «NP V ADV-Middle»: agent=Experiencer |
| 3 | **is** | present |  |  |  |  | now | to the truth; close *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 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Checks help but aren't perfect, so families still talk

```conllu
# sent_id = question:ai:21-news-deepfakes-history:t8:o1:1
# text = Checks help but aren't perfect, so families still talk
1	Checks	check	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	help	help	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	but	but	CCONJ	CC	_	6	cc	_	_
4	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	SpaceAfter=No
5	n't	not	PART	RB	Polarity=Neg	6	advmod	_	_
6	perfect	perfect	ADJ	JJ	Degree=Pos	2	conj	_	SpaceAfter=No
7	,	,	PUNCT	,	_	11	punct	_	_
8	so	so	ADV	RB	_	11	advmod	_	_
9	families	family	NOUN	NNS	Number=Plur	11	nsubj	_	_
10	still	still	ADV	RB	_	11	advmod	_	_
11	talk	talk	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **help** | present | Checks |  |  |  |  |  | vn help-72.1-1-1 «NP V PP.theme»: agent=Agent |
| 2 | **not** **is** | present | Checks *not said here* |  |  |  |  | perfect *property* | tree rules |
| 3 | **talk** | present | families |  |  |  | still |  | vn talk-37.5 «NP V»: agent=Agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
Age checks make every chatbot completely safe, even for babies

```conllu
# sent_id = question:ai:21-news-deepfakes-history:t8:o2:1
# text = Age checks make every chatbot completely safe, even for babies
1	Age	age	NOUN	NN	Number=Sing	2	compound	_	_
2	checks	check	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	make	make	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	every	every	DET	DT	PronType=Tot	5	det	_	_
5	chatbot	chatbot	NOUN	NN	Number=Sing	3	obj	_	_
6	completely	completely	ADV	RB	_	3	advmod	_	_
7	safe	safe	ADJ	JJ	Degree=Pos	3	xcomp	_	SpaceAfter=No
8	,	,	PUNCT	,	_	11	punct	_	_
9	even	even	ADV	RB	_	11	advmod	_	_
10	for	for	ADP	IN	_	11	case	_	_
11	babies	baby	NOUN	NNS	Number=Plur	3	parataxis	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | present | Age checks | every chatbot |  |  |  | completely, safe *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset chatbot=Product |

### Option 3 {#o3}

<!-- .ven lang=en -->
Age checks stop every problem for good

```conllu
# sent_id = question:ai:21-news-deepfakes-history:t8:o3:1
# text = Age checks stop every problem for good
1	Age	age	NOUN	NN	Number=Sing	2	compound	_	_
2	checks	check	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	stop	stop	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	every	every	DET	DT	PronType=Tot	5	det	_	_
5	problem	problem	NOUN	NN	Number=Sing	3	obj	_	_
6	for	for	ADP	IN	_	7	case	_	_
7	good	good	ADJ	JJ	Degree=Pos	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **stop** | present | Age checks | every problem |  |  |  | for good | vn stop-55.4-1-1 «NP V NP.eventuality»: agent=Subeventuality problem=Eventuality |

### Option 4 {#o4}

<!-- .ven lang=en -->
Age checks were never added anywhere

```conllu
# sent_id = question:ai:21-news-deepfakes-history:t8:o4:1
# text = Age checks were never added anywhere
1	Age	age	NOUN	NN	Number=Sing	2	compound	_	_
2	checks	check	NOUN	NNS	Number=Plur	5	nsubj:pass	_	_
3	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	5	aux:pass	_	_
4	never	never	ADV	RB	PronType=Neg	5	advmod	_	_
5	added	add	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	anywhere	anywhere	ADV	RB	PronType=Ind	5	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **add** *speech: assert* | past · passive |  | Age checks |  |  |  | anywhere *property* | vn mix-22.1-2 «NP V NP»: subject=Patient |

<!-- div src -->

**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.

<!-- /div -->

<!-- pn -->
- ← previous: [In the news: deepfakes, fake robocalls…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/t7/)
- next →: [In the news: deepfakes, fake robocalls…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/t9/)
- ↑ back to [In the news: deepfakes, fake robocalls and history gone wrong](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/)

