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Home»News»Global Free Speech»Banned Books Week: The author writing to stop history repeating itself
Global Free Speech

Banned Books Week: The author writing to stop history repeating itself

News RoomBy News Room12 months agoNo Comments7 Mins Read4 Views
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When award-winning author Rachel Seiffert met with Index on Censorship to talk about the freedom to read, she came armed with one of her favourite books, The Seventh Cross. Written by Anna Seghers, who was communist, Jewish and German, it’s what Seiffert describes as “an amazing cross-section of early Third Reich German life”. Published in 1942 in the USA while Seghers was in exile in Mexico and set in pre-war Nazi Germany, the novel tells the story of seven political prisoners who escape from a concentration camp and go on the run. Meanwhile the camp commandant has erected seven crosses which will serve as posts where they will be tortured on recapture. The novel, a graphic depiction, of German totalitarianism was made into a Hollywood film starring Spencer Tracy in 1944 (pictured top).

Seiffert has her own relationship with Germany’s dark past, and it is an uncomfortable one. The maternal side of her family was, as she describes it, implicated in Nazi crimes. To be precise, her maternal grandfather was in the Waffen SS, her step-grandmother was a social worker for the Nazi party and her great uncle was the deputy chief medical officer during the Third Reich. She grew up close to her German family and bilingual. Although her grandfather died the year she was born, she had a deep bond with her grandmother. Seiffert strongly identified with her own “German-ness”, but also knew about a lurking darkness.

“I’m still trying to find out whether my grandfather did anything during his time in terms of taking part in massacres, but it’s clear he was part of an organisation that was banned after the war,” Seiffert told Index. He had previously been in the SA, or Storm Troopers in Hamburg who she knows were involved in book burnings in the 1930s.

Before hearing about the Holocaust at school, Seiffert learnt about it at home. It was desperately important to her mother that she was aware of her family history. Knowing about her family’s past is something Seiffert carries with her.

This lifetime of trying to understand her family’s relationship with the Nazis has led directly to the subjects of her novels. She’s focused her work on trying to understand why people vote for dictatorships and hateful ideas, and why they follow these regimes even when they can see the cruelty.

The author Rachel Seiffert. Photo: Charlie Hopkinson © 2013

When Seiffert published her book A Boy in Winter in 2017, soon after Donald Trump had been elected US president for the first time, she could feel the echoes of Nazi Germany. She described how liberal people in the early 1930s would laugh at the Nazis, considering them anti-science and anti-knowledge. People thought they wouldn’t get into power, and if the Nazis did, people thought they were so incompetent that they wouldn’t last.

“People say it’s hysterical if you say Trump is like Hitler. But I saw so many parallels,” she said, describing how now Trump is in his second term “the gloves are off”. The ICE raids, the lawsuit against the New York Times, the censoring of comedian Jimmy Kimmel over remarks critical of the administration are all examples of what she describes as a fascist playbook.

This theme has remained current, and the political atmosphere has become more frightening to her. In the UK too, Seiffert sees parallels.

“History doesn’t repeat itself exactly, but there are so many rhymes here. The centre can’t hold, this is what we’re having at the moment, the hollowing out of the centre ground in terms of politics. And we’re all sitting somewhere at the extremes,” she said.

In this atmosphere, politicians feel they need to appeal to those extremes in order to get votes, she explained. As was the case in 1930s Germany.

“There was a period in my life where I thought it would never happen again in Germany. And I don’t have that conviction at all anymore,” she said. “Part of the drive to write is so that it doesn’t happen again.”

In her books, Seiffert puts readers into the shoes of those facing authoritarianism, showing that there isn’t a single, correct response. Her books also demonstrate that if you decide to stay silent, that is still an active decision. The idea that some people don’t have a choice is to her, inaccurate.

“No, you did have a choice, and you chose to stay silent. And that might have been absoluely the right choice for you and for your family, but it’s the wrong choice for other people, and we just have to be honest with ourselves about that,” she said.

She hopes that if people understood this better, they might step up more readily, unable to live with the idea that they chose to do nothing.

When Seiffert talks to Index, Banned Books Week UK is just around the corner. After a few fallow years, followed by a run of worrying violations of the freedom to read, a coalition led by Index on Censorship revived the annual event – the US version of which has been going strong for many years.

There are many UK examples of restrictions on the freedom to read: more than half of bookshop owners surveyed by the Booksellers Association have reported an increase in intimidating behaviour, school librarians told Index about LGBTQ+ books being whisked off the shelves and a book-related row broke out in a school in Dorset this last just days before Seiffert spoke to Index.

In this particular example, a parent put pressure on a school to remove a book from a year 10 lesson plan. The book in question was The Hate U Give by Angie Thomas, which explores issues of race, identity and social injustice, and the parent raised concerns about other books, too. According to local reporting from the Bournemouth Echo, the school removed the book after the parent refused a meeting with teachers because he was not allowed to record it. The paper described how the parent took issue with the book due to what he considered the use of bad language and inappropriate themes, and for making white characters appear as “baddies”. Other parents fought back, and soon launched a petition.

Seiffert herself works in schools, and believes that it is absolutely the right of parents to have conversations about which books are in the classroom, but that schools need to engage in the conversation in a way which backs up their teachers. She feels that classrooms should be open enough so that children who are feeling aggrieved can air their concerns, and the teacher can have those discussions with the class. Removing stories is not the answer.

“If adults are worried that their children might learn about something that makes them feel uncomfortable, it can feel preferable that they don’t know about it,” she said. “But it doesn’t make them safer in the end, because those ideas are out there and those experiences are out there.”

Instead, she believes hiding these parts of the world makes young people more insulated, and withholding information is doing them a disservice.

“I would really emphasise that taking away stories reduces our world. It reduces the possibilities of thought and of empathy, and it’s very dangerous. It should count for stories written from all perspectives. We have to be tolerant of upset.”

Once upon a time, Seiffert didn’t worry too much about her personal risk of being censored, considering it a practice more likely to be waged against writers in, for example, Russia. But as she talked to Index, she recognised how some of the things she was saying could, in today’s USA and a near-future UK, be taken as offensive by some people.

For those like her who have so far lived with the right to freedom of expression, it is now “all very much closer to the bone”.

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Agence France-Presse (AFP) Fact Check’s investigation led them to an India-based creator, who admitted creating the video with the help of AI-generative tools. His justification was disarmingly straightforward: emotionally engaging visuals perform well online. This was just one of the many digitally-manufactured “miracles” put into social media heavy rotation during the floods. Another clip, showing a bridge collapsing into floodwaters swallowing vehicles and human lives, seemed to have been lifted straight out of a Roland Emmerich disaster film. The video racked up more than 2 million views on X before it was debunked as AI-generated by Factly. What made this social media post stand out for me was the identity of one of the people sharing it – an experienced news editor. The post, still pinned on his X profile and with more than 2 million views, suggests that even experienced newsroom decision-makers could be fooled by synthetic disaster footage – or, worse still, be untroubled about the veracity of such videos. Both videos incorporate the visual language of short films, but were not released in cinemas or on Netflix. They surfaced on Facebook, X and Instagram, even as emergency teams continued to search for the thousands of people that went missing after a glacial collapse triggered devastating floods in Nepal and Tibet on August 26. Even as survivors photographed authentic eyewitness footage, synthetic visuals emerged alongside them. The floods became one of the first major climate disasters in South Asia where documentation and fabrication coexisted in the same visual ecosystem.     Screenshot of debunked Nepal floods footage “During earlier disasters, our primary challenge was identifying old footage, establishing where a video was recorded and determining whether it was being presented in the correct context,” Saurabh Shukla told Index. Shukla is founder and editor-in-chief of NewsMobile, an India-based independent media organisation that debunks AI-related deepfakes and focuses on verified information. “The biggest difference today is the sheer speed at which fabricated and misleading visuals entered the information ecosystem,” Shukla said. “With generative AI, we now have an additional challenge – determining whether the event depicted in a video ever happened in the first place.” This has fed into a media environment where unverified visuals are disseminated faster than the verified facts reported by journalists. “Speed without verification can amplify confusion, while verification without timely reporting can leave an information vacuum,” Shukla said. “The challenge for newsrooms is to strike the right balance between being fast and being accurate.” The first images of rescue missions in secluded mountainous regions almost always come from locals, and thus forming the spine of disaster reporting. These inevitably blurry and shaky recordings do not have the polished quality of professional news reporting, but do carry something far more consequential: the credibility that comes with eyewitness documentation. These images often shape the core of the collective memory of a tragedy. But in an age of visual manipulation and trickery, that presumption of authenticity no longer holds. Factly conducted 30 fact-checks into coverage of the Nepal floods; fully one-third involved AI-generated visuals. “Beyond checking the location, source, and context of a visual, we also had to establish whether the visual itself was authentic,” Akshay Kumar Appani, lead fact checker and researcher at Factly, told Index. “During breaking disasters, old AI-generated visuals can spread rapidly while being presented as current footage. This makes it harder for journalists to establish the truth. The visual of the miracle child perfectly captured this dilemma. 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Screenshot of video debunked by Factly Newsmobile’s verification process increasingly involves examining individual frames, conducting reverse-image searches, analysing visual inconsistencies and using AI-detection tools where appropriate. “However, detection tools are only one part of the process. We still need corroboration,” Shukla said. “We cannot rely solely on automated detection tools,” Sumit Dubey, South Asia digital verification editor for AFP’s Fact Check vertical, told Index. Fact-checking, he explained, requires going beyond automated outputs: tracing the original source, examining context, verifying metadata, looking for corroborating evidence and, where possible, speaking to relevant sources. “Automated tools are useful indicators, but fact-checking cannot be outsourced to a button,” Dubey said. The proliferation of synthetic media output in the wake of natural disasters is not new. It’s the sophistication of the output that has changed. For years, much of the public conversation around AI manipulation centred on faces: celebrity deepfakes, altered political speeches and fabricated portraits. The Nepal floods flipped that narrative. Almost every fabricated clip featured rivers, glaciers, collapsing hillsides, dams, flooded valleys or stranded animals. “AI-generated environmental content poses a different problem: [the] tells are failures of physics rather than anatomy,” Mahsa Alimardani told Index. Alimardani is associate director for technology threats and opportunities at Witness, a global organisation helping people use video and technology to protect and defend human rights This explains why the Nepal videos were so plausible. The miracle girl video wasn’t believable just because of her facial expressions. It was convincing because the sludge moved convincingly, because the choreography resembled actual emergency rescues, because the emotional tonality seemed genuine. “Most post-hoc detection tools were designed for content featuring physical characteristics, and they currently struggle significantly with environmental and disaster content,” Bruna Martins dos Santos – policy and advocacy manager, Witness Technology Threats and Opportunities – told Index. “Journalists might also struggle because many tools have limited capabilities to identify synthetic content generated elsewhere,” she said. Another emerging trend is the increasingly complicated role of Big Tech itself in detecting and labelling fake generative-AI content. Some of the clearest AI verdicts came from detection tools built by the very same companies whose models created the same fakes. Three weeks after the US state of California and the EU mandated the requirement for greater transparency with respect to AI-generated content, Witness and Indicator tested thirteen major AI providers. They found that seven had no public detector at all. “The capability to identify synthetic content partly existed. The governance around it did not,” Alimardani said. When both authentic and synthetic content circulate in disaster situations, the biggest challenge that journalists face is that of establishing truth amidst widespread public uncertainty and doubt. According to Martins dos Santos, “Journalists and local fact-checkers can face immense time pressure, often wasting scarce resources re-detecting the same recycled disaster footage across multiple platforms and languages.” The greatest danger emerging from Nepal may not be that people believed the fake videos. It may be that they have begun to doubt the real ones. 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