
    Given a user's content interaction history represented as a sequence where '1' indicates engagement (likes, shares, clicks) and '0' indicates non-engagement (skips), find the time period that shows the maximum difference between the number of skips and engagements. This analysis will help identify the most significant pattern of user disengagement to optimize content recommendations.
    

    
def find_length(string):
    """
    Given a user's content interaction history represented as a sequence where '1' indicates engagement (likes, shares, clicks) and '0' indicates non-engagement (skips), find the time period that shows the maximum difference between the number of skips and engagements. This analysis will help identify the most significant pattern of user disengagement to optimize content recommendations.
    

    """
def find_length(string):
    """
    Given a user's content interaction history represented as a sequence where '1' indicates engagement (likes, shares, clicks) and '0' indicates non-engagement (skips), find the time period that shows the maximum difference between the number of skips and engagements. This analysis will help identify the most significant pattern of user disengagement to optimize content recommendations.
    

    """
    n = len(string)
    current_sum = 0
    max_sum = 0
    for i in range(n):
        current_sum += 1 if string[i] == '0' else -1
        if current_sum < 0:
            current_sum = 0
        max_sum = max(current_sum, max_sum)
    return max_sum if max_sum else 0