Love and Monsters

2020 film directed by Michael Matthews
Movie film Q62761126
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Summary

Love and Monsters is a film[1]. It ranks in the top 2% of film entities by monthly Wikipedia readership (8,930 views/month).[2]

Key Facts

  • Director: Michael Matthews[3]
  • Screenwriter: Matthew Robinson[4]
  • Composer: Marco Beltrami[5]
  • Genre: science fiction film[6], post-apocalyptic film[7]
  • Cast member: Dylan O'Brien[8], Michael Rooker[9], Jessica Henwick[10], Ariana Greenblatt[11]
  • Producer: Shawn Levy[12]
  • Production company: 21 Laps Entertainment[13], Lionsgate Canada[14], Paramount Players[15], MTV Films[16], Skydance Media[17]
  • Original language of film or TV show: English[18]
  • Distribution format: video on demand[19]
  • Review score: 7.3/10[20], 94%[21], 63/100[22]
  • Country of origin: United States[23]
  • Publication date: October 16, 2020[24]
  • Distributed by: Paramount Pictures[25]
  • Filming location: Queensland[26]
  • Inspired by: A Boy and His Dog[27]
  • Title: Love and Monsters[28]
  • MPA film rating: PG-13[29]
  • FSK film rating: FSK 16[30]
  • Duration: 109 minutes[31]
  • Aspect ratio (W:H): 2.35:1[32]
  • Capital cost: 30,000,000 US dollars[33]
  • Box office: 1,100,000 US dollars[34]
  • Kijkwijzer rating: 12[35]
  • ClassInd rating: 12[36]
  • Assessment: Bechdel test[37]

Why It Matters

Love and Monsters has Wikipedia articles in 18 language editions, a strong signal of global cultural recognition.[38] It is known by 16 alternative names across languages and contexts.[39]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [4] ↑ . wikidata.org.
  3. [5] ↑ . wikidata.org.
  4. [6] ↑ . wikidata.org.
  5. [7] ↑ . wikidata.org.
  6. [8] ↑ . wikidata.org.
  7. [9] ↑ . wikidata.org.
  8. [10] ↑ . wikidata.org.
  9. [11] ↑ . wikidata.org.
  10. [12] ↑ . wikidata.org.
  11. [13] ↑ . wikidata.org.
  12. [14] ↑ . wikidata.org.
  13. [15] ↑ . wikidata.org.
  14. [16] ↑ . wikidata.org.
  15. [17] ↑ . wikidata.org.
  16. [18] ↑ . wikidata.org.
  17. [19] ↑ . wikidata.org.
  18. [20] ↑ . Rotten Tomatoes. Retrieved . wikidata.org.
  19. [21] ↑ . wikidata.org.
  20. [22] ↑ . wikidata.org.
  21. [23] ↑ . wikidata.org.
  22. [24] ↑ . wikidata.org.
  23. [25] ↑ . wikidata.org.
  24. [26] ↑ . citizenside.fr. Retrieved . citizenside.fr. Provenance: wikidata.org.
  25. [27] ↑ . variety.com. variety.com. Provenance: wikidata.org.
  26. [28] ↑ . wikidata.org.
  27. [29] ↑ . filmratings.com. filmratings.com. Provenance: wikidata.org.
  28. [30] ↑ . spio-fsk.de. Retrieved . spio-fsk.de. Provenance: wikidata.org.
  29. [31] ↑ . wikidata.org.
  30. [32] ↑ . wikidata.org.
  31. [33] ↑ . IndieWire. indiewire.com. Provenance: wikidata.org.
  32. [34] ↑ . Box Office Mojo. boxofficemojo.com. Provenance: wikidata.org.
  33. [35] ↑ . kijkwijzer.nl. Retrieved . kijkwijzer.nl. Provenance: wikidata.org.
  34. [36] ↑ . Brazilian Advisory Rating System. Retrieved . portal.mj.gov.br. Provenance: wikidata.org.
  35. [37] ↑ . Bechdel Test Movie List. Retrieved . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

Aggregate / graph-position facts

  1. [2] ↑ . Wikimedia Foundation. dumps.wikimedia.org.
  2. [38] ↑ . Wikidata sitelinks. wikidata.org.
  3. [39] ↑ . Wikidata aliases. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Love and Monsters. Retrieved October 15, 2026, from https://4ort.xyz/entity/love-and-monsters
MLA “Love and Monsters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 15 Oct. 2026, https://4ort.xyz/entity/love-and-monsters.
BibTeX @misc{4ortxyz_love-and-monsters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Love and Monsters}}, year = {2026}, url = {https://4ort.xyz/entity/love-and-monsters}, note = {Accessed: 2026-10-15}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Love and Monsters — https://4ort.xyz/entity/love-and-monsters (retrieved 2026-10-15)

Canonical URL: https://4ort.xyz/entity/love-and-monsters · Last refreshed:

Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 23h ago · Quesotiotyo · 2026-10-15 view diff on Wikidata ↗
    Ampas collections film id → W1434238
    Claims rich → —
    "/* wbcreateclaim-create:1| */ Ampas collections film id: W1434238, [[:toollabs:quickstatements/#/batch/290954|batch #290954]]"
  2. 13d ago · Rémi sim · 2026-10-03 view diff on Wikidata ↗
    Wikipedia languages → ['ar', 'arz', 'bg', 'ckb', 'cs', 'de', 'en', 'es', 'eu', 'fa', 'fr', 'gl', 'id',
    P14724 → 11922309
    Claims rich → —
    "/* wbsetclaim-create:2||1 */ P14724: 11922309, Garance ID - Films 2019 ([[:toollabs:editgroups/b/OR/520d5210f36|details]])"
  3. 6w ago · MsMorale · 2026-09-01 view diff on Wikidata ↗
    P14821 → 2222042
    "/* wbcreateclaim-create:1| */ P14821: 2222042, [[:toollabs:quickstatements/#/batch/269964|batch #269964]]"
  4. 12w ago · Yirba · 2026-07-23 view diff on Wikidata ↗
    P14671 → 52318
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/43292|batch #43292]]: Create P14671 statements based on Rating certificate id qualifier"
  5. 16w ago · Yirba · 2026-06-26 view diff on Wikidata ↗
    Inspired by → A Boy and His Dog
    Publication date → +2020-10-16T00:00:00Z
    Screenwriter → Matthew Robinson
    Duration → {'unit': 'Q7727', 'amount': '+109'}
    + 27 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/38315|batch #38315]]: MovieLens IDs (part 2)"
Live feed via Wikidata EventStreams. New edits appear within minutes of being made on Wikidata.