![]() ![]() This was despite the vast majority of experts, including economists employed by the Government, predicting that Brexit will be economically damaging. He told PMP Magazine: ‘I gave several public talks where audience members believed that the economic evidence was equally split, with as much to be said on one side as the other’. ![]() Professor Chris Grey illustrates how this affects public opinion. ‘Balance’, as interpreted by the BBC, means that the loony minority are given equal billing with the evidence-based majority. Entire programmes are so obsessed with the splits within one tribe that other voices…are pushed to the margins or remain unheard.’įor Robert Peston, impartial journalism is about ‘weighing the evidence and saying on the balance of probabilities…this is the truth.’ He argues that the BBC did not do this during the Brexit campaign, but ‘put people on with diametrically opposed views viewers and listeners any help in assessing which one was the loony and which one was the genius’. As a result we hear ‘less from…the rational centre or from the Michael Gove-despised ‘experts’. The BBC’s Charter demands that such issues ‘are treated with due impartiality in…news and other output dealing with matters of public policy or political or industrial controversy.’ However, many experts believe that its interpretation of this requirement is causing the BBC to frustrate its viewers and listeners.Īlan Rusbridger, former Editor in Chief of The Guardian and Principal of Lady Margaret Hall in Oxford, believes that impartiality is ‘complicated by the way the apparent centre of gravity has been so effectively dragged rightwards by the relentlessly Europhobic newspapers’- a situation now magnified by the newspaper reviews that are integral to rolling news and some current affairs programmes. The subject of the criticism was its coverage of Brexit. VLV members, including me, respect and appreciate the BBC and it was therefore concerning to see so much criticism aimed at the corporation at the VLV Autumn Conference. ![]()
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