Wikipedia:WikiProject Wiki Loves Women/Occupations

Wiki Loves Women HomeOccupation driveIn FrenchIn HausaIn SwahiliIn IgboIn YorubaIn ArabicIn LingalaIn ShonaIn AmharicIn PortugueseIn AfrikaansIn Luganda

Let's improve WikiData ! And African languages ! And women representation !

What is this Women Occupation Drive about ?

Help improve the occupation labels in WikiData with non gender-biased description and description in more languages

Below... a list of labels used in Wikidata to describe the occupation (professional field) of a person in relation to cinema.

The last column provides you with the number of uses of each label. For example... there are 198234 people in Wikidata whose occupation is actor. There are only 146 casting director.

The labels used are by default in English...

The most used ones are usually translated in a dozen of other languages (most of the time, French, German etc. ). For example make-up artist is translated in 41 languages as of early Oct 2018, none of which being African languages.

Our suggestion: translate those labels in more languages and in particular African languages ! This will make WikiData more useful ! Which in turn will make Wikipedia more useful !

You can edit the list of languages (check out some suggestions here).

The labels are usually in default gender form.

In some languages, the default form is suitable for use for male and female (this is usually the case in English). In other languages, there are clearly two forms... one male and one female (this is typically the case in French). In yet other cases, there is a neutral form that can be used for anyone, plus a female form, plus less frequently a male form. For example, in the case of voice artist, there is a female and a neutral form in French, but not in several other languages.

Our suggestion: Help complete those gender forms columns to make WikiData more useful !

How to help

1. Click on the chosen language in the menu
2. Add your name in the participants section
3. Review the table. See if there are some entries missing (for example, no female form when there should be one).
4. If a label needs to be fixed, click on the "item" link in the last column (such as Q33999). This will bring you directly to the entry on wikidata.
5. Look for the label area specific to female form of label. Fix the labels over there, directly on WikiData.
6. Then come back to your table on wikipedia and resume reviewing it
7. Repeat labelling
8. When you are done... to update the table and see the full results of your work, click on the little link top right Automatically update the list now
9. Enjoy !

List of occupation labels related to cinema

More occupations will be added later. Why the cinema focus right now ? Well, this drive to improve WikiData is organized to support Wikipedia:WikiProject AfroCine/Months of African Cinema

	occupation (professional field)	occupation Label	count (number of entries)
Q33999	Q33999	actor	198234
Q10800557	Q10800557	film actor	47746
Q2526255	Q2526255	film director	42256
Q28389	Q28389	screenwriter	36364
Q333634	Q333634	translator	27579
Q33231	Q33231	photographer	24005
Q10798782	Q10798782	television actor	20270
Q185351	Q185351	jurist	16613
Q753110	Q753110	songwriter	16420
Q3282637	Q3282637	film producer	13620
Q947873	Q947873	television presenter	13395
Q183945	Q183945	record producer	11342
Q214917	Q214917	playwright	10813
Q16010345	Q16010345	performer	9895
Q2405480	Q2405480	voice actor	9140
Q5716684	Q5716684	dancer	7476
Q3387717	Q3387717	theatre director	7294
Q2516866	Q2516866	publisher	7162
Q1607826	Q1607826	editor	6199
Q2490358	Q2490358	choreographer	5526
Q222344	Q222344	cinematographer	5503
Q15980158	Q15980158	non-fiction writer	5154
Q245068	Q245068	comedian	4759
Q488111	Q488111	pornographic actor	4719
Q18844224	Q18844224	science fiction writer	4565
Q18581305	Q18581305	beauty pageant contestant	3916
Q7042855	Q7042855	film editor	3856
Q3391743	Q3391743	visual artist	3443
Q578109	Q578109	television producer	3219
Q2707485	Q2707485	scenographer	3169
Q13590141	Q13590141	presenter	3161
Q16287483	Q16287483	opinion journalist	3113
Q627325	Q627325	graphic designer	3023
Q970153	Q970153	child actor	2516
Q1323191	Q1323191	costume designer	2483
Q2059704	Q2059704	television director	2435
Q1415090	Q1415090	film score composer	2335
Q487596	Q487596	dramaturge	2286
Q1925963	Q1925963	graphic artist	2250
Q266569	Q266569	animator	2080
Q11481802	Q11481802	dub actor	1872
Q6430706	Q6430706	critic	1871
Q2986228	Q2986228	sports commentator	1619
Q4220892	Q4220892	film critic	1518
Q270389	Q270389	news presenter	1371
Q943995	Q943995	impresario	1205
Q13235160	Q13235160	producer	1194
Q1208175	Q1208175	camera operator	909
Q3766177	Q3766177	videographer	782
Q1235146	Q1235146	documentary filmmaker	630
Q10774753	Q10774753	performance artist	453
Q935666	Q935666	make-up artist	432
Q17337766	Q17337766	theatre critic	429
Q15077007	Q15077007	podcaster	416
Q1759246	Q1759246	theatrical producer	411
Q15212951	Q15212951	cineast	234
Q11085831	Q11085831	interpreter	234
Q15958754	Q15958754	broadcaster	185
Q1049296	Q1049296	casting director	146

Outcome

Process and outcome available here : https://meta.wikimedia.org/wiki/Women_Occupation_Drive

See also

• https://www.lehir.net/a-tool-to-estimate-gender-gap-on-wikidata-and-wikipedia/
• https://denelezh.dicare.org/gender-gap.php
• http://wdcm.wmflabs.org/WDCM_BiasesDashboard/
• http://www.greenman.co.za/blog/?p=2244