Love Thy Neighbor: A Story of War

Peter Maass

Winner of the Los Angeles Times Book Prize Peter Maass went to the Balkans as a reporter at the height of the nightmarish war there, but this book is not traditional war reportage. Maass examines how an ordinary Serb could wake up one morning and shoot his neighbor, once a friend--then rape that neighbor's wife. He conveys the desperation that makes a Muslim beg the United States to bomb his own city in order to end the misery. And Maass does not falter at the spectacle of U.N. soldiers shining searchlights on fleeing refugees--who are promptly gunned down by snipers waiting in the darkness. Love Thy Neighbor gives us an unflinching vision of a late-20th-century hell that is also a scathing inquiry into the worst extremes of human nature. Like Michael Herr's Dispatches (also available in Vintage paperback), it is an utterly gripping book that will move and instruct readers for years to come.

War & MilitaryWar & Military · medium confidenceWar & Military81 signalsLlm Classifier: War & Military -> War & MilitaryOpen Library: Personal narratives, American -> Memoir & AutobiographyOpen Library: American Personal narratives -> Memoir & AutobiographySoldiers, Veterans & Combat ExperienceWar & Military StrategyWorld War II
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • the Balkans62%
  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

  4. 04 Reading orientation

    35 / 100 academic

    Serious trade

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 70%.